One aspect of the invention provides a system including: a camera, one or more light sources, and a controller. The controller is programmed to: receive an image of one or more plants from the camera; apply a segmentation algorithm to produce a binary image from the image; apply a thresholding algorithm to classify the one or more plants within the binary image as being in one or several stages of plant life; and control operation of the one or more light sources based on a classified stage of plant life.

One aspect of the invention provides a system including: a camera, one or more light sources, and a controller. The controller is programmed to: receive an image of one or more plants from the camera; apply a segmentation algorithm to produce a binary image from the image; apply a thresholding algorithm to classify the one or more plants within the binary image as being in one or several stages of plant life; and control operation of the one or more light sources based on a classified stage of plant life.

Provided is a coefficient calculation device and the like that can promptly calculate accurate extinction coefficient for a certain area. The coefficient calculation device is configured to calculate an extinction coefficient for a part of partial areas among a plurality of partial areas in a field in accordance with a predetermined calculation processing, generate relevance information representing a relevance between the extinction coefficient calculated for the part of partial areas and a characteristic value representing a character of the part of partial areas, and calculate an extinction coefficient for another partial area different from the part of partial areas among the plurality of partial areas based on the characteristic value for the another partial area and the generated relevance information.

Provided is a coefficient calculation device and the like that can promptly calculate accurate extinction coefficient for a certain area. The coefficient calculation device is configured to calculate an extinction coefficient for a part of partial areas among a plurality of partial areas in a field in accordance with a predetermined calculation processing, generate relevance information representing a relevance between the extinction coefficient calculated for the part of partial areas and a characteristic value representing a character of the part of partial areas, and calculate an extinction coefficient for another partial area different from the part of partial areas among the plurality of partial areas based on the characteristic value for the another partial area and the generated relevance information.

Systems and methods for neural network forecasting for tiered hydroponic farming configurations are disclosed. In embodiments, a computer-implemented method includes: determining, by a computing device, ecology factors associated with a plant of interest; determining, by the computing device, beneficial interdependencies of the ecology factors associated with the plant of interest using an artificial neural network system; and generating, by the computing device, an ecology framework for the plant of interest within a cultivation system based on the beneficial interdependencies of the ecology factors, wherein the ecology framework reflects ecological conditions desired to promote healthy growth of the plant of interest.

The present invention provides a novel method of manufacturing germinated plant seeds suitable for producing a large amount of phytoalexin, a method of manufacturing raw material seeds for germination induction for use in manufacture of the above germinated plant seeds, an extract composition of the germinated plant seeds and a screening method for a plant seed candidate for use in producing a target substance. The method of manufacturing raw material seeds for germination induction comprises a pre-treatment step of maintaining plant seeds under atmosphere conditions of a carbon dioxide concentration of 400 ppm or more and/or an oxygen concentration of 19 vol % or less continuously for 5 hours or more.

The present invention provides a novel method of manufacturing germinated plant seeds suitable for producing a large amount of phytoalexin, a method of manufacturing raw material seeds for germination induction for use in manufacture of the above germinated plant seeds, an extract composition of the germinated plant seeds and a screening method for a plant seed candidate for use in producing a target substance. The method of manufacturing raw material seeds for germination induction comprises a pre-treatment step of maintaining plant seeds under atmosphere conditions of a carbon dioxide concentration of 400 ppm or more and/or an oxygen concentration of 19 vol % or less continuously for 5 hours or more.

A system for identifying and displaying one or more optimal locations within a lot for a garden in which to plant and grow suggested plant varieties is discussed. The system includes a robotic device positioned and configured to scan the lot and to generate at least one lot parameter. The system also includes a soil sensor positionable in soil in the lot and configured to generate at least one soil parameter. The system further includes a computing system configured to execute a location optimization module that determines varieties of suggested plants based on the soil parameter and the lot parameter. Based on a user selection from the varieties of suggested plants, the computing system identifies optimal locations for a garden within the lot for the one or more selected plants. The computing system transmits the optimal locations for the garden to a user computing device for display.

A system for identifying and displaying one or more optimal locations within a lot for a garden in which to plant and grow suggested plant varieties is discussed. The system includes a robotic device positioned and configured to scan the lot and to generate at least one lot parameter. The system also includes a soil sensor positionable in soil in the lot and configured to generate at least one soil parameter. The system further includes a computing system configured to execute a location optimization module that determines varieties of suggested plants based on the soil parameter and the lot parameter. Based on a user selection from the varieties of suggested plants, the computing system identifies optimal locations for a garden within the lot for the one or more selected plants. The computing system transmits the optimal locations for the garden to a user computing device for display.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.