CN102954816B - Crop growth monitoring method - Google Patents
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- CN102954816B CN102954816B CN201210010896.2A CN201210010896A CN102954816B CN 102954816 B CN102954816 B CN 102954816B CN 201210010896 A CN201210010896 A CN 201210010896A CN 102954816 B CN102954816 B CN 102954816B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 47
- 230000012010 growth Effects 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 31
- 239000000284 extract Substances 0.000 claims abstract description 4
- 239000002689 soil Substances 0.000 claims description 57
- 235000013399 edible fruits Nutrition 0.000 claims description 33
- 235000013339 cereals Nutrition 0.000 claims description 25
- 230000035558 fertility Effects 0.000 claims description 24
- 230000002159 abnormal effect Effects 0.000 claims description 23
- 230000035945 sensitivity Effects 0.000 claims description 17
- 238000004040 coloring Methods 0.000 claims description 12
- 235000015097 nutrients Nutrition 0.000 claims description 12
- 241000607479 Yersinia pestis Species 0.000 claims description 10
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 9
- 201000010099 disease Diseases 0.000 claims description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 229910001385 heavy metal Inorganic materials 0.000 claims description 9
- 239000001257 hydrogen Substances 0.000 claims description 9
- 229910052739 hydrogen Inorganic materials 0.000 claims description 9
- 230000035040 seed growth Effects 0.000 claims description 8
- 238000002329 infrared spectrum Methods 0.000 claims description 7
- 239000003337 fertilizer Substances 0.000 claims description 5
- 230000003698 anagen phase Effects 0.000 claims description 4
- 229920002472 Starch Polymers 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 239000000835 fiber Substances 0.000 claims description 3
- 239000002917 insecticide Substances 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 102000004169 proteins and genes Human genes 0.000 claims description 3
- 108090000623 proteins and genes Proteins 0.000 claims description 3
- 238000005507 spraying Methods 0.000 claims description 3
- 235000019698 starch Nutrition 0.000 claims description 3
- 239000008107 starch Substances 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 abstract 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 230000008635 plant growth Effects 0.000 description 3
- 241000238631 Hexapoda Species 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
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Abstract
The invention discloses a crop growth monitoring method, which comprises the following steps that: S1, more than one sensor respectively acquires the original growth information of crops in a specified monitoring area; S2, the acquired original growth information is sent to a remote monitoring platform; S3, the remote monitoring platform carries out preprocessing on the acquired original growth information so as to obtain processed growth information; S4, the remote monitoring platform extracts feature parameters from the processed growth information according to a preset algorithm; and S5, the growth situation of crops in the specified monitoring area is evaluated according to the degree of deviation among the feature parameters and preset values. Through respectively installing a plurality of various sensors at different space position points of crops to be monitored, the growth situations of the crops can be obtained more accurately, therefore, on the one hand, people can be guided to timely change the environments at which the crops are located, thereby increasing the crop yield; and on the other hand, the crop yield can be predicted more comprehensively and accurately.
Description
Technical field
The invention belongs to crop monitoring technical field, be specifically related to a kind of monitoring method of crop growing state.
Background technology
Crop growing state refers to situation and the trend of plant growth, in other words, the situation of plant growth, by the growing way situation of monitoring crop, the upgrowth situation of crop, disease and pest or crop alimentary situation can be understood in time, thus instruct people to take corresponding control measures, and then ensure the normal growth of crop.
The monitoring method of existing crop growing state is mainly artificial direct observational method, that is: observer differentiates the situation of plant growth by observing the external appearance characteristics such as the physical dimension of crop, shape or color, such as: crop water shortage, fertilizer deficiency or disease and pest etc.
The major defect that artificial direct observational method exists is: (one) needs at substantial manpower, and efficiency is extremely low.(2) observer is needed to have rich experience and farming knowledge, and, usually can only provide qualitative conclusions, so the subjectivity of observations is strong, more objectively cannot reflect the actual growing situation situation of crop.
Summary of the invention
For the defect that prior art exists, the invention provides a kind of monitoring method of crop growing state, by the different spatial point residing for crop to be monitored, multiple various types of sensor is installed respectively, the growing way situation of crop can be obtained more accurately, therefore, on the one hand, people can be instructed to change environment residing for crop in time, thus increase crop yield; On the other hand, the output of crop can also be predicted more comprehensively accurately.
The technical solution adopted in the present invention is as follows:
The invention provides a kind of monitoring method of crop growing state, comprise the following steps:
S1, one gathers the original growth information of specifying crop in monitored area respectively with upper sensor;
S2, sends to remote monitoring platform by the described original growth information collected;
S3, described remote monitoring platform carries out pre-service to the described original growth information collected, and obtains the growth information after processing;
S4, described remote monitoring platform extracts characteristic parameter by preset algorithm from the described growth information after process;
S5, assesses the growing way situation of crop in described appointment monitored area according to the departure degree of described characteristic parameter and preset value.
Preferably, S1 is specially: fixedly mount fixed sensor respectively at the different spatial point of described appointment monitored area, described fixed sensor gathers the original growth information of crop in described appointment monitored area by certain frequency; And/or
The original growth information of crop in described appointment monitored area is gathered by certain frequency by portable sensor and/or unmanned plane sensor.
Preferably, described fixed sensor comprises: fixed sensor and/or underground fixed sensor on the ground; Described ground fixed sensor is near infrared sensor and/or visible light sensor; Described underground fixed sensor is humidity sensor and/or for the sensor of measuring soil fertility and/or the sensor for measuring soil acidity or alkalinity;
Described portable sensor is near infrared sensor and/or visible light sensor;
Described unmanned plane sensor is near infrared sensor and/or visible light sensor.
Preferably, the described sensor for measuring soil fertility comprises with one or more in lower sensor: AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor, ion sensitive sensor; The described sensor for measuring soil acidity or alkalinity comprises with one or more in lower sensor: PH sensor, AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor; Described near infrared sensor is the near infrared moisture sensor with fixed frequency.
Preferably, described original growth information comprises one or more in following information: the potential of hydrogen raw information of soil residing for the moisture raw information of soil residing for the fertility raw information of soil residing for the infrared spectrum information of crop image picture information, crop, crop, crop and crop; Described crop image picture information is obtained by described visible light sensor, and the infrared spectrum information of described crop is obtained by described near infrared sensor.
Preferably, one to gather respectively with upper sensor and specifies the original growth information of crop in monitored area to be specially:
S11, when seed is planted, every the normal seed of the first fixed qty, sows the abnormal seed of the second fixed qty; Wherein, the crop that described normal seed growth becomes is normal crop, and the crop that described abnormal seed growth becomes is abnormal crop;
S12, the described described original growth information of each growth phase gathering described abnormal crop with upper sensor;
S5, assesses the growing way situation of crop in described appointment monitored area, is specially according to the departure degree of described characteristic parameter and preset value:
The growing way situation of described normal crop is assessed according to the departure degree of the characteristic parameter of described normal crop and the characteristic parameter of described abnormal crop.
Preferably, described abnormal seed comprises one or more of following seed: the seed to disease and pest sensitivity, the seed to soil moisture sensitivity, to the seed of change of soil fertility sensitivity and the seed of heavy metal sensitivity.
Preferably, S2 is specially: the described original growth information collected is sent to remote monitoring platform by cable network and/or wireless network.
Preferably, in S4, the described characteristic parameter extracted comprises: crop personal feature parameter and/or crop groups characteristic parameter.
Preferably, described crop personal feature parameter comprises one or more in following information: the fertility information of the nutrient information of the moisture information of the colouring information of the shape information of the geometry information of the moisture information of the colouring information of the thick information of plant height value, stem, leaf, the shape information of leaf, leaf, the nutrient information of leaf, leaf area information, fruit or grain, fruit or grain, fruit or grain, fruit or grain, fruit or grain, the moisture information of soil, the potential of hydrogen information of soil and soil;
Described crop groups characteristic parameter comprises one or more in following information: spacing in the rows, line-spacing, plant height mean value and plant height variance yields.
Preferably, the nutrient information of described fruit or grain comprises one or more in following information: fiber information, starch information and protein information.
Preferably, S5 is specially: the departure degree of comprehensive the following assesses the growing way situation of crop in described appointment monitored area:
(1) the described plant height value of each plant in described appointment monitored area and expectation plant height average are done variance computing, obtain actual plant height variance yields; Judge the departure degree of described actual plant height variance yields and default variance yields;
(2) ask the mean value of the described plant height value of each plant in described appointment monitored area, obtain actual plant height average; Judge the departure degree of described actual plant height average and described expectation plant height average;
(3) departure degree of the moisture information of the oxygen point information of the moisture information of the colouring information of the shape information of the geometry information of the nutrient information of the moisture information of the shape information of the colouring information of the thick information of described stem, leaf, leaf, leaf, leaf, leaf area information, fruit or grain, fruit or grain, fruit or grain, fruit or grain, fruit or grain, soil, the potential of hydrogen information of soil, the fertility information of soil and each self-corresponding expectation value is judged respectively.
Preferably, after S5, also comprise:
S6, predicts the output of crop in described appointment monitored area according to the growing way situation of crop in the described appointment monitored area that S5 obtains and/or predicts the heavy metal pollution situation of soil in described appointment monitored area.
Preferably, after S5, also comprise:
S7, according to the growing way situation of crop in the described appointment monitored area that S5 obtains, provides the reasonable proposal improving crop growing state in described appointment monitored area.
Preferably, described reasonable proposal comprises one or more in following information: apply fertilizer to the crop in described appointment monitored area, implement to irrigate to the crop spraying insecticide in described appointment monitored area with to the crop in described appointment monitored area.
Beneficial effect of the present invention is as follows:
The monitoring method of the crop growing state that the application of the invention provides, by the different spatial point residing for crop to be monitored, multiple various types of sensor is installed respectively, thus the parameter of the various reflection crop growing states of crop to be monitored is obtained by sensor, by comprehensively analyzing various parameter value, the growing way situation of crop can be obtained more accurately, therefore, on the one hand, people can be instructed to change environment residing for crop in time, thus increase crop yield; On the other hand, the output of crop can also be predicted more comprehensively accurately.
Accompanying drawing explanation
The schematic flow sheet of the monitoring method of the crop growing state that Fig. 1 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described.
As shown in Figure 1, the schematic flow sheet of the monitoring method of the crop growing state provided for the embodiment of the present invention, comprises the following steps:
S1, one gathers the original growth information of specifying crop in monitored area respectively with upper sensor.
According to actual needs, be the original growth information of comprehensive and accurate acquisition crop, need specifying the different spatial point of monitored area to adopt corresponding sensor respectively.
Concrete, the mode that fixed sensor, portable sensor and unmanned plane sensor combine can be adopted; And, adopt the mode that near infrared sensor and visible light sensor combine.
Wherein, fixed sensor can comprise: fixed sensor and underground fixed sensor on the ground; Fixed sensor can be near infrared sensor, visible light sensor on the ground; Underground fixed sensor can for humidity sensor, for measure soil fertility sensor, for measuring the sensor of soil acidity or alkalinity.Further, the sensor for measuring soil fertility comprises with one or more in lower sensor: AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor, ion sensitive sensor; Sensor for measuring soil acidity or alkalinity comprises with one or more in lower sensor: PH sensor, AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor; Near infrared sensor is the near infrared moisture sensor with fixed frequency.
Portable sensor is near infrared sensor or visible light sensor.
Unmanned plane sensor is near infrared sensor or visible light sensor.
By the combination of above-mentioned various kinds of sensors, the original growth information of acquisition comprises: the potential of hydrogen raw information of soil residing for the moisture raw information of soil residing for the fertility raw information of soil residing for the infrared spectrum information of crop image picture information, crop, crop, crop and crop; Wherein, crop image picture information is obtained by visible light sensor, and the infrared spectrum information of crop is obtained by near infrared sensor.
In addition, in the present invention, S1 specifically comprises:
S11, when seed is planted, every the normal seed of the first fixed qty, sows the abnormal seed of the second fixed qty; Wherein, the crop that normal seed growth becomes is normal crop, and the crop that abnormal seed growth becomes is abnormal crop;
Wherein, the occurrence of the first fixed qty and the second fixed qty adjusts according to actual needs.Abnormal seed comprises one or more of following seed: the seed to disease and pest sensitivity, the seed to soil moisture sensitivity, to the seed of change of soil fertility sensitivity and the seed of heavy metal sensitivity.In the present invention, the seed of disease and pest sensitivity is specifically referred to the seed of diseases and insect pests resistance difference; The seed of soil moisture sensitivity is specifically referred to the seed of drought-resistant ability; Specifically refer to rely on very large seed to soil fertility to the seed of change of soil fertility sensitivity; The seed be changed significantly during the concrete abutment heavy metal of the seed of heavy metal sensitivity.When using these abnormal seeds, being conducive to sensor monitoring system and the abnormal crop that abnormal seed growth becomes is monitored, thus sending the early warning of disease and pest, lack of water, fertilizer deficiency in advance.
And, by the seed of plantation heavy metal sensitivity, by the above optical sensor in ground, the special crop that special seed growth becomes is monitored, such as, downright bad, color changes, etc., the heavy metal pollution situation of soil can also be provided, thus can the soil of extensive monitor large-area in real time, time of saving upper delayed and expensive laboratory analysis process.
S12, one with the described original growth information of each growth phase of upper sensor acquisition abnormity crop.
The growing way situation of described normal crop is assessed according to the departure degree of the characteristic parameter of normal crop and the characteristic parameter of abnormal crop.
Because abnormal crop is responsive especially to insect pest, fertility, moisture etc., so, monitor the growing way situation of abnormal crop at Different growth phases, and compare with the growing way situation of normal crop around abnormal crop, early warning can be carried out to the disease and pest of the normal crop of prevention, or, for normal crop provides fertilising, the previous information such as to pour water.
These information, in conjunction with the data of the soil fertility under earth's surface and water transformed into soil, provide more reliable information, add the redundance of system.
S2, sends to remote monitoring platform by the described original growth information collected;
Concrete, by the mode of cable network and/or wireless network, the described original growth information collected can be sent to remote monitoring platform, thus facilitate remote monitoring platform to obtain the growing way situation of crop in real time, improve monitoring efficiency.
S3, described remote monitoring platform carries out pre-service to the described original growth information collected, and obtains the growth information after processing.
Owing to usually can contain a large amount of interfere information in the infrared spectrum information of crop image picture information and crop simultaneously; so; need to adopt the picture of multiple image processing algorithm to shooting to carry out certain pre-service, thus facilitate subsequent extracted to reflect the characteristic parameter of crop growing state.
S4, described remote monitoring platform extracts characteristic parameter by preset algorithm from the described growth information after process.
In this step, the characteristic parameter extracted comprises: crop personal feature parameter and crop groups characteristic parameter.Wherein, crop personal feature parameter comprises one or more in following information: the fertility information of the nutrient information of the moisture information of the colouring information of the shape information of the geometry information of the moisture information of the colouring information of the thick information of plant height value, stem, leaf, the shape information of leaf, leaf, the nutrient information of leaf, leaf area information, fruit or grain, fruit or grain, fruit or grain, fruit or grain, fruit or grain, the moisture information of soil, the potential of hydrogen information of soil and soil.Wherein, the nutrient information of described fruit or grain comprises: fiber information, starch information and protein information.
Crop groups characteristic parameter comprises one or more in following information: spacing in the rows, line-spacing, plant height mean value and plant height variance yields.
S5, assesses the growing way situation of crop in described appointment monitored area according to the departure degree of described characteristic parameter and preset value.
This step is specially: the departure degree of comprehensive the following assesses the growing way situation of crop in described appointment monitored area:
(1) by specifying the plant height value of each plant in monitored area and expecting that plant height average does variance computing, actual plant height variance yields is obtained; Judge the departure degree of actual plant height variance yields and default variance yields.
The plant height distribution situation of plant and spacing in the rows directly affect the growing way situation of crop, such as: if the plant height skewness of plant, high plant can be caused to hinder low plant to absorb sunshine; Simultaneously, because the root degree of depth of high plant in soil is also higher than low plant, so high plant too much absorbs moisture in soil and fertility, thus cause low plant cannot be drawn to moisture sufficient in soil and fertility, finally cause the growing way situation of low plant poor.So in the present invention, variance yields plant height value and expectation plant height mean operation obtained is as the reference factor assessing crop growing state situation.
(2) ask the mean value of the described plant height value of each plant in described appointment monitored area, obtain actual plant height average; Judge the departure degree of described actual plant height average and described expectation plant height average;
(3) departure degree of the moisture information of the oxygen point information of the moisture information of the colouring information of the shape information of the geometry information of the nutrient information of the moisture information of the shape information of the colouring information of the thick information of described stem, leaf, leaf, leaf, leaf, leaf area information, fruit or grain, fruit or grain, fruit or grain, fruit or grain, fruit or grain, soil, the potential of hydrogen information of soil, the fertility information of soil and each self-corresponding expectation value is judged respectively.
Due in the present invention, multiple various types of sensor is arranged in the appointment monitored area at crop place, so, after carrying out subsequent treatment by the information collected each sensor, the parameter of various types of reflection crop growing state situation can be obtained, thus the growing way situation of crop can be predicted more comprehensively accurately.
After S5, also comprise:
S6, specifies the output of crop in monitored area according to the growing way situation prediction of crop in the appointment monitored area that S5 obtains.
After S5, also comprise:
S7, according to the growing way situation of crop in the appointment monitored area that S5 obtains, provides the reasonable proposal improved and specify crop growing state in monitored area.Wherein, reasonable proposal comprises one or more in following information: apply fertilizer to the crop of specifying in monitored area, implement to irrigate to the crop spraying insecticide of specifying in monitored area with to the crop of specifying in monitored area.
Such as: if the growing way situation of crop for lacking moisture, then can provide the suggestion of the amount needing the water of irrigating in the appointment monitored area of S5 acquisition.
In sum, the monitoring method of the crop growing state that the application of the invention provides, by the different spatial point residing for crop to be monitored, multiple various types of sensor is installed respectively, thus the parameter of the various reflection crop growing states of crop to be monitored is obtained by sensor, by comprehensively analyzing various parameter value, the growing way situation of crop can be obtained more accurately, therefore, on the one hand, people can be instructed to change environment residing for crop in time, thus increase crop yield; On the other hand, the output of crop can also be predicted more comprehensively accurately.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should look protection scope of the present invention.
Claims (14)
1. a monitoring method for crop growing state, is characterized in that, comprises the following steps:
S1, one gathers the original growth information of specifying crop in monitored area respectively with upper sensor;
S2, sends to remote monitoring platform by the described original growth information collected;
S3, described remote monitoring platform carries out pre-service to the described original growth information collected, and obtains the growth information after processing;
S4, described remote monitoring platform extracts characteristic parameter by preset algorithm from the described growth information after process;
S5, assesses the growing way situation of crop in described appointment monitored area according to the departure degree of described characteristic parameter and preset value;
Wherein, one to gather respectively with upper sensor and specifies the original growth information of crop in monitored area to be specially:
S11, when seed is planted, every the normal seed of the first fixed qty, sows the abnormal seed of the second fixed qty; Wherein, the crop that described normal seed growth becomes is normal crop, and the crop that described abnormal seed growth becomes is abnormal crop;
S12, the described described original growth information of each growth phase gathering described abnormal crop with upper sensor;
S5, assesses the growing way situation of crop in described appointment monitored area, is specially according to the departure degree of described characteristic parameter and preset value:
The growing way situation of described normal crop is assessed according to the departure degree of the characteristic parameter of described normal crop and the characteristic parameter of described abnormal crop.
2. the monitoring method of crop growing state according to claim 1, is characterized in that, S1 is specially:
Fixedly mount fixed sensor respectively at the different spatial point of described appointment monitored area, described fixed sensor gathers the original growth information of crop in described appointment monitored area by certain frequency; And/or
The original growth information of crop in described appointment monitored area is gathered by certain frequency by portable sensor and/or unmanned plane sensor.
3. the monitoring method of crop growing state according to claim 2, is characterized in that,
Described fixed sensor comprises: fixed sensor and/or underground fixed sensor on the ground; Described ground fixed sensor is near infrared sensor and/or visible light sensor; Described underground fixed sensor is humidity sensor and/or for the sensor of measuring soil fertility and/or the sensor for measuring soil acidity or alkalinity;
Described portable sensor is near infrared sensor and/or visible light sensor;
Described unmanned plane sensor is near infrared sensor and/or visible light sensor.
4. the monitoring method of crop growing state according to claim 3, it is characterized in that, the described sensor for measuring soil fertility comprises with one or more in lower sensor: AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor, ion sensitive sensor; The described sensor for measuring soil acidity or alkalinity comprises with one or more in lower sensor: PH sensor, AC impedance formula sensor, capacitance type sensor, inductance capacitance LC oscillator type sensor, resistance capacitance RC oscillator type sensor, resistance-inductance-capacitance RLC oscillator type sensor; Described near infrared sensor is the near infrared moisture sensor with fixed frequency.
5. the monitoring method of crop growing state according to claim 3, it is characterized in that, described original growth information comprises one or more in following information: the potential of hydrogen raw information of soil residing for the moisture raw information of soil residing for the fertility raw information of soil residing for the infrared spectrum information of crop image picture information, crop, crop, crop and crop; Described crop image picture information is obtained by described visible light sensor, and the infrared spectrum information of described crop is obtained by described near infrared sensor.
6. the monitoring method of crop growing state according to claim 1, it is characterized in that, described abnormal seed comprises one or more of following seed: the seed to disease and pest sensitivity, the seed to soil moisture sensitivity, to the seed of change of soil fertility sensitivity and the seed of heavy metal sensitivity.
7. the monitoring method of crop growing state according to claim 1, is characterized in that, S2 is specially:
The described original growth information collected is sent to remote monitoring platform by cable network and/or wireless network.
8. the monitoring method of crop growing state according to claim 1, is characterized in that, in S4, the described characteristic parameter extracted comprises: crop personal feature parameter and/or crop groups characteristic parameter.
9. the monitoring method of crop growing state according to claim 8, it is characterized in that, described crop personal feature parameter comprises one or more in following information: plant height value, the thick information of stem, the colouring information of leaf, the shape information of leaf, the moisture information of leaf, the nutrient information of leaf, leaf area information, the geometry information of fruit or grain, the shape information of fruit or grain, the colouring information of fruit or grain, the moisture information of fruit or grain, the nutrient information of fruit or grain, the moisture information of soil, the potential of hydrogen information of soil and the fertility information of soil,
Described crop groups characteristic parameter comprises one or more in following information: spacing in the rows, line-spacing, plant height mean value and plant height variance yields.
10. the monitoring method of crop growing state according to claim 9, is characterized in that, the nutrient information of described fruit or grain comprises one or more in following information: fiber information, starch information and protein information.
The monitoring method of 11. crop growing states according to claim 9, it is characterized in that, S5 is specially: the departure degree of comprehensive the following assesses the growing way situation of crop in described appointment monitored area:
(1) the described plant height value of each plant in described appointment monitored area and expectation plant height average are done variance computing, obtain actual plant height variance yields; Judge the departure degree of described actual plant height variance yields and default variance yields;
(2) ask the mean value of the described plant height value of each plant in described appointment monitored area, obtain actual plant height average; Judge the departure degree of described actual plant height average and described expectation plant height average;
(3) departure degree of the moisture information of the oxygen point information of the moisture information of the colouring information of the shape information of the geometry information of the nutrient information of the moisture information of the shape information of the colouring information of the thick information of described stem, leaf, leaf, leaf, leaf, leaf area information, fruit or grain, fruit or grain, fruit or grain, fruit or grain, fruit or grain, soil, the potential of hydrogen information of soil, the fertility information of soil and each self-corresponding expectation value is judged respectively.
The monitoring method of 12. crop growing states according to claim 1, is characterized in that, after S5, also comprises:
S6, predicts the output of crop in described appointment monitored area according to the growing way situation of crop in the described appointment monitored area that S5 obtains and/or predicts the heavy metal pollution situation of soil in described appointment monitored area.
The monitoring method of 13. crop growing states according to claim 1, is characterized in that, after S5, also comprises:
S7, according to the growing way situation of crop in the described appointment monitored area that S5 obtains, provides the reasonable proposal improving crop growing state in described appointment monitored area.
The monitoring method of 14. crop growing states according to claim 13, it is characterized in that, described reasonable proposal comprises one or more in following information: apply fertilizer to the crop in described appointment monitored area, implement to irrigate to the crop spraying insecticide in described appointment monitored area with to the crop in described appointment monitored area.
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