Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

A method of determining health of a plant which method includes displaying, on a screen of an electronic display of a mobile computing device, a digital leaf colour chart with colours ranging from yellow green to dark green; displaying on the screen next to the digital leaf colour chart a white area on which a leaf of the plant is to be placed; receiving input to the mobile computing device from a user about which colour of the digital leaf colour chart that best matches the leaf placed on the white area; and the mobile computing device determining the plant health based on the received input.

A method of determining health of a plant which method includes displaying, on a screen of an electronic display of a mobile computing device, a digital leaf colour chart with colours ranging from yellow green to dark green; displaying on the screen next to the digital leaf colour chart a white area on which a leaf of the plant is to be placed; receiving input to the mobile computing device from a user about which colour of the digital leaf colour chart that best matches the leaf placed on the white area; and the mobile computing device determining the plant health based on the received input.

To provide a method for predicting a soybean yield at an early stage with high accuracy.

The method for predicting a soybean yield comprises: acquiring analytical data of one or more components from a leaf sample collected from the soybean; and predicting a soybean yield using a correlation between the data and a soybean yield.

A spreading support system includes a height difference acquisition unit to acquire a height difference in an agricultural field, a spread amount acquisition unit to acquire a planned spread amount which is an amount of an object to be spread on the agricultural field, a spread amount correction unit to correct, on the basis of the height difference acquired by the height difference acquisition unit, the planned spread amount acquired by the spread amount acquisition unit to obtain a corrected spread amount, and a spread amount output unit to output the corrected spread amount.