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.

Provided is a compound and composition capable of increasing a sugar content in a fruit by a simple method, without being restricted by a cultivation area of a plant or a climatic environment. The agent for increasing a sugar content in a fruit of a plant comprises a compound represented by the formula MX as an active ingredient, wherein M represents alkali metal ion or alkaline earth metal ion, and X represents carbonate ion, hydrogen carbonate ion, acetate ion, citrate ion, succinate ion, phosphate ion, hydrogen phosphate ion, or pyrophosphate ion.

Provided is a compound and composition capable of increasing a sugar content in a fruit by a simple method, without being restricted by a cultivation area of a plant or a climatic environment. The agent for increasing a sugar content in a fruit of a plant comprises a compound represented by the formula MX as an active ingredient, wherein M represents alkali metal ion or alkaline earth metal ion, and X represents carbonate ion, hydrogen carbonate ion, acetate ion, citrate ion, succinate ion, phosphate ion, hydrogen phosphate ion, or pyrophosphate ion.

A method of cultivating plant in transparent sealed container and base used therefor, wherein the base is mainly obtained by solidifying a mixture formed by adding gellan gum to transparent nutritional liquid; the gellan gum being added to the nutritional liquid is in an amount of 2-10 g/L; the base has a PH value of 3.5-10.0. The use of gellan gum as the sole transparent solidifying agent ensures the gellan gum, the base of the present invention is capable of adhering securely in the transparent sealed container. As shown by experiments, the base of the present invention will not slide or disperse in the transparent sealed container under normal shaking state, and can remain adhered to the transparent sealed container for 3-10 minutes when the transparent sealed container is turned upside down.

A method of cultivating plant in transparent sealed container and base used therefor, wherein the base is mainly obtained by solidifying a mixture formed by adding gellan gum to transparent nutritional liquid; the gellan gum being added to the nutritional liquid is in an amount of 2-10 g/L; the base has a PH value of 3.5-10.0. The use of gellan gum as the sole transparent solidifying agent ensures the gellan gum, the base of the present invention is capable of adhering securely in the transparent sealed container. As shown by experiments, the base of the present invention will not slide or disperse in the transparent sealed container under normal shaking state, and can remain adhered to the transparent sealed container for 3-10 minutes when the transparent sealed container is turned upside down.

The present disclosure provides for an electronic sensor for detecting a root of a plant in soil, the electronic sensor that includes a first conductor plate configured to be disposed in soil, a switch, a power supply, and signal extractor. The switch is electrically coupled to the first conductor plate and is configured to switch between a first mode and a second mode. The power supply is electrically coupled to the switch and is configured to provide an electrical charge to the first conductor plate in the first mode of the switch. The signal extractor is electrically coupled to the switch and is configured to extract a signal response at the first conductor plate in the second mode of the switch. The present disclosure further provides a second conductor plate configured to be disposed in soil adjacent to and substantially parallel to the first conductor plate. The second conductor plate is electrically coupled to ground.

A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

A system for observing agricultural samples includes a chassis suspended on an elevated cable or rail, an actuator disposed within the chassis for moving the chassis forward and backward along the elevated cable or rail, a camera mounted on or within the chassis and configured to acquire image data of an area below the elevated cable or rail including an agricultural sample, and a processor disposed within the chassis for receiving image data from the camera, autonomously controlling the actuator to move the chassis along the elevated cable or rail, and assessing a condition of the agricultural sample from the received image data.