Equipment and methods for predicting planting dates and maturity of agricultural crops.

Abstract

OCR 10KL (02 / 07 / 2569) This invention relates to a device and method for predicting the growing date and age of crops. Agriculture, where such equipment consists of a satellite imagery data input unit and a receiving unit. Field units, processing units, and recording units, where the processing unit processes plant age data. From satellite imagery data, by importing satellite imagery data according to the orbital cycle... Calculate an index to measure plant growth, in order to produce temporal data based on the time periods containing that index. The noise is removed and the data is smoothed, and this data is then used to find the beginning and end of the cycle. Cultivation involves measuring indices that are related to a predetermined crop area over a specified period. The process calculates the local minima time from the given temporal data and then estimates the plant age.

Claims

OCR 10KL (07 / 04 / 2569) 1. Equipment for predicting planting dates and maturity of agricultural crops includes: Satellite imagery input unit (101) which imports satellite imagery signal data. Field receiver unit (103) connected to satellite imagery input unit (101). as mentioned above, and serves to receive and transmit satellite imagery signals to the processing unit (104). The processing unit (104) is connected to the field receiver (103) and performs processing. The age of the plants is derived from the satellite imagery data. The recording unit, which is connected to the processing unit (104), records the results of such processing. Where it is unique is that the processing unit (104) processes the age of the plant from Satellite image signal data by importing satellite image signal data (201) in a cycle. Orbit and calculate the index for measuring plant growth (202) to produce temporal data (203) according to The time period with the said index, then remove noise and smooth the data (204) and bring the data The above was used to find the beginning and end points of the growing cycle (205) by measuring the index values ​​which are related. With a predefined plant area, a specified time period, and processing to find the local minima time. Based on the time data, and proceed to assess the age of the plants (206). Where the local minima time processing performs vegetation index data readings. (901) by extracting some temporal information from the initial temporal data at the time position of interest and having Data length by setting the variable to the data window (902) and performing window extraction. Current position (903) where the data window at the current position will be considered as the time period. This likely refers to a period when the cultivated land is in a state of being bare, without any vegetation covering the ground. Make a decision based on the condition that the data point at the center of the window has the smallest value (904). If not, proceed. Move current position to the next time period (905). If yes, proceed to add current position to. Production cycle start date list (906) When data (907) is completed, the production cycle start date list will be displayed. Produced (908) where the recorded time intervals are used to calculate the age of the vegetation in the cultivated plot. Where the variable is set to the data window (902) as above, it sets the size of the data window. It should have a width equal to at least half the production cycle period and be processed as follows: Repeat the process through the entire dataset within the specified time period.

2. A system for estimating the planting date and age of crops, pursuant to claim 1, in which the processing unit (104) is mentioned. The index is measured, which is related to a predetermined area of ​​vegetation, based on the National Dispersion Value (NDVI). The surface is calculated using values ​​from the wavelengths associated with vegetation according to the equation. (Equation) NIR refers to the reflectance value of the near-infrared wavelength range. RED refers to the reflectance value of the red wavelength range. And the processing determines the start and end points of the cultivation cycle, by specifying that the surface has vegetation. Covered when the NDVI value is greater than 0.

3. A system for estimating the planting date and age of crops, pursuant to claim 1, in which the processing unit (104) is mentioned. Measure the index which is related to the previously defined plant area, based on the Leaf Area Index (LAI).

4. A system for estimating the planting date and age of crops, pursuant to claim 1, in which the processor (104) is mentioned. Import satellite imagery data (201) from satellites with an orbital period of no more than 30 days.

5. A system for estimating the planting date and age of crops, pursuant to claim 1, in which the processing unit (104) is mentioned. Import satellite imagery data (201) which has a raster satellite imagery data structure. Graphics 6. Methods for forecasting planting dates and maturity of agricultural crops include: The process of importing satellite imagery data, which involves importing satellite imagery signals through the unit. Importing satellite imagery data (101) The field signal reception process, which involves receiving and transmitting satellite imagery signals to... Processor (104) The processing step involves determining the age of the plants from satellite imagery data. as mentioned above The results recording process, which records the results of the processing. Where it has a unique characteristic, the processing step processes the age of plants from the data. Satellite image signals by importing satellite image signal data (201) according to the orbit. Then, calculate the index for measuring plant growth (202) to produce temporal data (203) as follows: The time period with the said index, then remove noise and smooth the data (204) and bring the data The above was used to find the beginning and end points of the growing cycle (205) by measuring the index values ​​which are related. With a predefined plant area, a specified time period, and processing to find the local minima time. Based on the time data, and proceed to assess the age of the plants (206). Where the local minima time processing performs vegetation index data readings. (901) by extracting some temporal information from the initial temporal data at the time position of interest and having Data length by setting the variable to the data window (902) and performing window extraction. Current position (903) where the data window at the current position will be considered as the time period. This likely refers to a period when the cultivated land is in a state of being bare, without any vegetation covering the ground. Make a decision based on the condition that the data point at the center of the window has the smallest value (904). If not, proceed. Move current position to the next time period (905). If yes, proceed to add current position to. Production cycle start date list (906) When data (907) is completed, the production cycle start date list will be displayed. Produced (908) where the recorded time intervals are used to calculate the age of the vegetation in the cultivated plot. Where the variable is set to the data window (902) as above, it sets the size of the data window. It should have a width equal to at least half the production cycle period and be processed as follows: Repeat the process through the entire dataset within the specified time period.

7. Methods for estimating the planting date and age of crops, as per Claim 1, where such processing procedures are performed. The index is measured, which is related to a predetermined area of ​​vegetation, based on the National Dispersion Value (NDVI). The surface is calculated using values ​​from the wavelengths associated with vegetation according to the equation. (Equation) by NIR refers to the reflectance value of the near-infrared wavelength range. RED refers to the reflectance value of the red wavelength range. And the processing determines the start and end points of the cultivation cycle, by specifying that the surface has vegetation. Covered when the NDVI value is greater than 0.

8. Method for estimating the planting date and age of the crop, as per Claim 1, whereby the processing steps are described. Measure the index which is related to the previously defined plant area, based on the Leaf Area Index (LAI).

9. Method for estimating planting dates and crop age under Claim 1, whereby the processing steps are described. Import satellite imagery data (201) from satellites with an orbital period of no more than 30 days.

10. Method for estimating the planting date and age of crops, as per Claim 1, whereby the processing steps are described. Import satellite imagery data (201) which has a satellite imagery data structure as raster graphics.

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