A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland. A class for each pixel is then determined that maximizes the joint probability over the graph.

The present invention has for its object to provide a composition in which a photoluminescent carbon nanoparticle having no dependency of an emission wavelength on an excitation wavelength and being enhanced in terms of quantum efficiency is dispersed, a process of producing the same, and an application of the same. The composition of the invention has a photoluminescent carbon nanoparticle dispersed in a water-soluble solvent. The photoluminescent carbon nanoparticle contains a carbon atom, an oxygen atom, a nitrogen atom, and a hydrogen atom if required. As shown in FIG. 6, the photoluminescent carbon nanoparticle has an intensity of a CN bond and/or CO bond-derived peak (285.98 eV) larger than that of a CC bond and/or CH bond-derived peak (284.95 eV) in terms of X-ray photoelectron spectroscopic spectra, and a Raman spectrum having a peak based on a G-band and a D-band.

The purpose of the present disclosure is to provide a computer system, a plant diagnosis method, and a program in which the measurement accuracy of the temperature of each site of a target is improved. The computer system acquires a visible light image and an infrared image that are imaged by a camera, identifies a region, in the visible light image, which corresponds to a predetermined site of a plant imaged by the camera, identifies a region, in the infrared image, which corresponds to the identified region in the visible light image, and diagnoses the plant based on the temperature of the identified region in the infrared image.

The purpose of the present disclosure is to provide a computer system, a plant diagnosis method, and a program in which the measurement accuracy of the temperature of each site of a target is improved. The computer system acquires a visible light image and an infrared image that are imaged by a camera, identifies a region, in the visible light image, which corresponds to a predetermined site of a plant imaged by the camera, identifies a region, in the infrared image, which corresponds to the identified region in the visible light image, and diagnoses the plant based on the temperature of the identified region in the infrared image.

A vegetation effect calculation device includes a memory configured to store instruction and at least one processor configured to execute the instructions to acquire a vegetation parameter being information indicating a characteristic of vegetation flourishing on a slope; and calculate vegetation adhesion per unit area and a total tree weight per unit area, based on the vegetation parameter, a first regression equation being a regression equation between a root diameter and an uprooting resistance, a second regression equation being a regression equation between a breast high diameter and a total tree weight, and a relationship between the uprooting resistance and vegetation adhesion.

A vegetation effect calculation device includes a memory configured to store instruction and at least one processor configured to execute the instructions to acquire a vegetation parameter being information indicating a characteristic of vegetation flourishing on a slope; and calculate vegetation adhesion per unit area and a total tree weight per unit area, based on the vegetation parameter, a first regression equation being a regression equation between a root diameter and an uprooting resistance, a second regression equation being a regression equation between a breast high diameter and a total tree weight, and a relationship between the uprooting resistance and vegetation adhesion.

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.

A method of aerating or distributing nutrients in a saline aquaculture system is described herein. The method includes acquiring a second set of environmental condition data on a computing device using a sensor coupled to a platform, such that the platform is configured to grow a salt-tolerant plant therein; comparing the second set of environmental condition data to a first set of environmental condition data acquired at a previous time point; determining a change in one or more of an amount of oxygen, nutrients, or carbon dioxide in a liquid around or on the platform; and when one or more of reduced oxygen, reduced nutrients, or increased carbon dioxide is detected, activating an aeration device.

A method of aerating or distributing nutrients in a saline aquaculture system is described herein. The method includes acquiring a second set of environmental condition data on a computing device using a sensor coupled to a platform, such that the platform is configured to grow a salt-tolerant plant therein; comparing the second set of environmental condition data to a first set of environmental condition data acquired at a previous time point; determining a change in one or more of an amount of oxygen, nutrients, or carbon dioxide in a liquid around or on the platform; and when one or more of reduced oxygen, reduced nutrients, or increased carbon dioxide is detected, activating an aeration device.

A vegetation effect calculation device includes: a memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a moisture content of a slope, a relational expression between the moisture content and an adhesion of soil in the slope, and a vegetation adhesion that is an adhesion of vegetation abundantly growing in the slope; calculate a correction value, using the acquired moisture content of the slope, and the acquired relational expression between the moisture content and the adhesion of the soil; and calculate a corrected vegetation adhesion, using the acquired vegetation adhesion, and the calculated correction value.