A computing system includes a processor and a memory having instructions stored thereon that, when executed by the one or more processors, cause the computing system to: determine a geographic field boundary, obtain topographic data, generate a digital elevation model including derivative data, determine critical level data and generate soil nutrients recommendations data. A method includes determining a geographic field boundary, obtaining topographic data, generating a digital elevation model including derivative data, determining critical level data; and generating the soil nutrients recommendations data. obtaining, by one or more processors, topographic data within an area of land. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to determine a geographic field boundary, obtain topographic data, generate a digital elevation model including derivative data, determine critical level data and generate soil nutrients recommendations data.

A computing system includes a processor and a memory having instructions stored thereon that, when executed by the one or more processors, cause the computing system to: determine a geographic field boundary, obtain topographic data, generate a digital elevation model including derivative data, determine critical level data and generate soil nutrients recommendations data. A method includes determining a geographic field boundary, obtaining topographic data, generating a digital elevation model including derivative data, determining critical level data; and generating the soil nutrients recommendations data. obtaining, by one or more processors, topographic data within an area of land. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to determine a geographic field boundary, obtain topographic data, generate a digital elevation model including derivative data, determine critical level data and generate soil nutrients recommendations data.

This is an approach to the prediction of soil density and subsoil crop growth. The approach may include subsoil sensor which can monitor changes in soil pressure and moisture conditions. The sensor data can be sent to a computer module which can process the data using a machine learning model predicting the soil density around a subsoil crop and the yield of the subsoil crop. A soil maintenance plan can be generated from the soil density prediction and/or the crop yield prediction. The soil maintenance plan can be sent to soil management robots, which can execute the soil maintenance plan.

This is an approach to the prediction of soil density and subsoil crop growth. The approach may include subsoil sensor which can monitor changes in soil pressure and moisture conditions. The sensor data can be sent to a computer module which can process the data using a machine learning model predicting the soil density around a subsoil crop and the yield of the subsoil crop. A soil maintenance plan can be generated from the soil density prediction and/or the crop yield prediction. The soil maintenance plan can be sent to soil management robots, which can execute the soil maintenance plan.

Provided is a method for sensing methyl salicylate, which is a plant hormone released when a plant is infected with a disease in cultivation of plants including agricultural crops, and thereby provided a method for early in-situ detection of disease infection in a plant. Disease infection in a plant can be detected at an early stage by utilizing a zinc compound that selectively recognizes methyl salicylate, which is a plant hormone released when a plant is infected by a pathogen, and forms a complex with methyl salicylate, as a receptor for sensing, and by utilizing a fluorescence emission phenomenon or a change in electrochemical behavior after the reaction with methyl salicylate.

One variation of a method for automating transfer of plants within an agricultural facility includes: dispatching a loader to autonomously deliver a first moduledefining a first array of plant slots at a first density and loaded with a first set of plants at a first growth stagefrom a first grow location within an agricultural facility to a transfer station within the agricultural facility; dispatching the loader to autonomously deliver a second moduledefining a second array of plant slots at a second density less than the first density and empty of plantsto the transfer station; recording a module-level optical scan of the first module; extracting a viability parameter of the first set of plants from features detected in the module-level optical scan; and if the viability parameter falls outside of a target viability range, rejecting transfer of the first set of plants from the first module.

One variation of a method for automating transfer of plants within an agricultural facility includes: dispatching a loader to autonomously deliver a first moduledefining a first array of plant slots at a first density and loaded with a first set of plants at a first growth stagefrom a first grow location within an agricultural facility to a transfer station within the agricultural facility; dispatching the loader to autonomously deliver a second moduledefining a second array of plant slots at a second density less than the first density and empty of plantsto the transfer station; recording a module-level optical scan of the first module; extracting a viability parameter of the first set of plants from features detected in the module-level optical scan; and if the viability parameter falls outside of a target viability range, rejecting transfer of the first set of plants from the first module.

A method for promoting growth and bioactive substances of Crepidiastrum denticulatum including performing a stress treatment on Crepidiastrum denticulatum during cultivation thereof, in which the stress treatment includes at least of applying visible light, drying, exposing to low temperature, irradiating ultraviolet rays, and applying a chemical elicitor.

The invention provides a method for providing a non-uniform pigment distribution in a first plant part (110) of a pigment generating plant (100), which accumulates pigment upon exposure by light, during indoor cultivation of said plant (100), wherein the first plant part (110) comprises a second plant part (120) and a third plant part (130), the method comprising subjecting in a first lighting stage at least the first plant part (110) to first light conditions that inhibit or prevent pigment accumulation in said first plant part (110), and subsequently subjecting in a second lighting stage the second plant part (120) of said first plant part (110) to second light conditions that promote pigment accumulation in said second plant part (120) while subjecting the third plant part (130) of said first plant part (110) to third light conditions that inhibit or prevent pigment accumulation in said third plant part (130).

[Object] To implement display of a nurture target that conforms more closely to a real environment. [Solution] Provided is an information processing apparatus including: a determination unit configured to determine, on a basis of collected sensor information and a nurture model associated with a nurture target, a nurture state of the nurture target; and an output control unit configured to control an output related to the nurture target, in accordance with the nurture state of the nurture target. Also provided is an information processing method including: determining, by a processor, on a basis of collected sensor information and a nurture model associated with a nurture target, a nurture state of the nurture target; and controlling an output related to the nurture target, in accordance with the nurture state of the nurture target.