The agronomic prescription product provides a tool and a method to increase crop yield in a defined geographical area, by an amount greater than a specified percentage of a subset of that field's historical yield for that same crop. Specifically, the novel method provides a computer processor (hereafter, Improved Processor or Improved Computer) improved by the incorporation of an Agronomic Prescription Product which enables the Improved Processor to generate a prescription based on crop type, field type, soil conditions, and pest pressure in the field to increase yield by an amount related to historical yield and determined by the Improved Processor (Crop Performance Guarantee). The Improved Processor generates agronomic prescription recommendations tailored to the purpose of increasing crop and plant type yield a certain amount relative to historical yield, along with a guaranteed increase related to the actual yield (Crop Performance Guarantee), should that yield be lower than prescribed.

The inventive subject matter provides a method for the incorporation of colored photoluminescent materials to be sprayed on to plants and soils. The incorporation of colored photoluminescent materials assists the spray operator through the use of black lights allowing for more precise low light or nighttime spray and seeding operations. More specifically, this invention relates to a colored photoluminescent adjuvant to be applied to targeted crops, plants and seeds to assist in the low light or nighttime application of bioactive agents, such as chemicals and pesticides. The colored photoluminescent adjuvant can be applied as a solution or a foam.

In some embodiments, a method for managing growing crops in a crop growing farm includes operating one or more unmanned aerial vehicles (UAV) to fly over a plurality of sections of a crop growing farm. The UAVs are fitted with a plurality of cameras equipped to generate images in a plurality of spectrums. The plurality of sections of the crop growing farm grow crops of one or more types or varietals. The method further includes taking a plurality of aerial images of the sections of the vineyard in the plurality of spectrums, using the plurality of cameras, while the UAVs are flying over the plurality of sections of the crop growing farm, and executing an analyzer on a computing system to machine analyze the plurality of aerial images for anomalies associated with growing the crops of the one or more types or varietals. The machine analysis takes into consideration topological information of the crop growing farm, as well as current planting information of the crop growing farm.

In some embodiments, a method for managing growing crops in a crop growing farm includes operating one or more unmanned aerial vehicles (UAV) to fly over a plurality of sections of a crop growing farm. The UAVs are fitted with a plurality of cameras equipped to generate images in a plurality of spectrums. The plurality of sections of the crop growing farm grow crops of one or more types or varietals. The method further includes taking a plurality of aerial images of the sections of the vineyard in the plurality of spectrums, using the plurality of cameras, while the UAVs are flying over the plurality of sections of the crop growing farm, and executing an analyzer on a computing system to machine analyze the plurality of aerial images for anomalies associated with growing the crops of the one or more types or varietals. The machine analysis takes into consideration topological information of the crop growing farm, as well as current planting information of the crop growing farm.

Provided are an information processing device and the like with which a process for raising agricultural products can be evaluated accurately. The information processing device calculates ingestion resource volume based on farming information regarding to farming work in a process of cultivating a target crop in a target field, the ingestion resource volume representing ingestible volume of the target crop cultivated along the farming information; and generates risk information representing a risk degree of yield decrease of the target crop based on necessary resource volume required for growing the target crop and the ingestion resource volume.

Provided are an information processing device and the like with which a process for raising agricultural products can be evaluated accurately. The information processing device calculates ingestion resource volume based on farming information regarding to farming work in a process of cultivating a target crop in a target field, the ingestion resource volume representing ingestible volume of the target crop cultivated along the farming information; and generates risk information representing a risk degree of yield decrease of the target crop based on necessary resource volume required for growing the target crop and the ingestion resource volume.

There is provided a method of planning irrigation, comprising: performing for a certain interval of time: computing a value of a crop evapotranspiration parameter indicative of an amount of water consumed by a reference crop, computing a value of a potential evapotranspiration parameter indicative of weather conditions associated with the field of the reference crop, computing a value of a dynamic crop coefficient for the reference crop based on the crop evapotranspiration parameter and the potential evapotranspiration parameter, and providing the dynamic crop coefficient computed for the certain time interval of time of the reference crop that corresponds to a target time interval of a target growing season of the target crop, wherein the target crop is growing in a target field which is geographically distinct from the reference field, and outputting instructions for irrigation of the target crop according to an irrigation plan based on the dynamic crop coefficient.

The present invention relates to unmanned aerial vehicle for agricultural field assessment. It is described to fly (210) an unmanned aerial vehicle to a location in a field containing a crop. A camera is mounted on the unmanned aerial vehicle at a location vertically separated from a body of the unmanned aerial vehicle. The vertical separation between the camera and the body is greater than an average vertical height of plants of a crop in a field to be interrogated by the unmanned aerial vehicle. The body of the unmanned aerial vehicle is positioned (220) in a sub-stantially stationary aspect above the crop at the location such that the camera is at a first posi-tion above the crop. The unmanned aerial vehicle is controlled (230) to fly vertically at the loca-tion such that the camera is at a second position below that of the first position. The camera acquires (240) at least one image relating to the crop when the camera is between the first position and the second position

The present invention relates to unmanned aerial vehicle for agricultural field assessment. It is described to fly (210) the unmanned aerial vehicle to a location in a field containing a crop. A body of the unmanned aerial vehicle is positioned (220) in a substantially stationary aspect above the crop at the location. A camera of the unmanned aerial vehicle is moved (230) vertically with respect to the body of the unmanned aerial vehicle between a first position and a second position, wherein the first position is closer to the body of the unmanned aerial vehicle than the second position. The camera acquires (240) at least one image relating to the crop when the camera is not in the first position.

A method of managing treatment of crop is disclosed. The method comprises: monitoring a first parameter describing a daily shrinkage of a plant part of the crop, and a second parameter describing daily growth rate of a plant part of the crop. The method further comprises calculating a plant status function based on a value of the first parameter and a value of the second parameter, and operating a crop treatment system responsively to the plant status function.