Systems and methods for generation of images of a particular type from images of a different type are disclosed. In an embodiment, an agricultural intelligence computer system receives a first plurality of images of a first type and a second plurality of images of a second type. The first and second types may refer to variances in resolution, frequency ranges of frequency bands, and/or types of frequency bands used to generate the images. Based on the first plurality of images and the second plurality of images, the agricultural intelligence computer system generates a feature set dictionary comprising mappings from features of the first plurality of images to features of the second plurality of images. When the agricultural intelligence computer system receives a particular image of the first type, the agricultural intelligence computer system uses the received image and the feature set dictionary to generate an image of the second type.

The invention relates to a method for performing data analysis for plant phenotyping of single plants in a field and a data acquisition and evaluation system for performing data analysis for plant phenotyping of single plants in a field. Further, the invention relates to a mobile platform for use in the data acquisition and evaluation system. The method comprises the steps of capturing spectral data via a hyperspectral imaging sensor, capturing image data via an image sensor, capturing georeference data via an inertial measurement unit, spatializing the image data to generate georeferenced image data and a digital surface model, spatializing the spectral data, generating georeferenced spectral data based on the spatialized spectral data and the digital surface model and overlaying the georeferenced image data and georeferenced spectral data with field plan information to generate a high-resolution analysis data set.

A method of determining a plant's biomass includes three steps, namely establishing an X-ray photograph of the plant, establishing an absorption characteristic of the plant in an X-ray photograph, and determining the plant's biomass by means of the absorption characteristic of the plant. Said determining is based on a predetermined relation between a reference absorption characteristic and a reference biomass.

A method of determining a plant's biomass includes three steps, namely establishing an X-ray photograph of the plant, establishing an absorption characteristic of the plant in an X-ray photograph, and determining the plant's biomass by means of the absorption characteristic of the plant. Said determining is based on a predetermined relation between a reference absorption characteristic and a reference biomass.

A method is provided for thinning fruits (F) and/or flowers belonging to plants (A) located beneath orientable photovoltaic sensors (C), with the shade from the sun cast onto the plants being adjusted by changing the orientation of the sensors. In the method by virtue of the orientation of the sensors, the plants are kept in the shade for a sufficient duration to induce thinning by shading said plants from the sun.

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.

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 critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed. A method includes determining critical level data, generating a spatial critical level map, generating soil nutrients recommendations data, and causing the spatial critical level map and the soil nutrients recommendations data to be displayed. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to determine critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed.

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 critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed. A method includes determining critical level data, generating a spatial critical level map, generating soil nutrients recommendations data, and causing the spatial critical level map and the soil nutrients recommendations data to be displayed. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to determine critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed.

In order for the growth of a crop to be assisted, a crop growth assistance apparatus (1) includes an accepting section (11) for accepting a request containing any of a size, a taste, a harvest period, and a harvest yield of a crop which is a subject of growth; a generating section (12) for generating response information containing a method for growing the crop which is the subject of growth, in accordance with the request and a learned model having learned relations between methods for growing a plurality of crops and growth results including any of sizes, tastes, harvest periods, and harvest yields of the plurality of crops; and an outputting section (13) for outputting the method for growing the crop which is the subject of growth.