Abstract: A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

Abstract: This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

Abstract: In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

Abstract: An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

Abstract: Systems, methods, and computer program products for recommending ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. One or more methodology is accessed. For each of the one or more fields, one or more farming practice is accessed, wherein each farming practice comprises a location and time. For each of the one or more fields, for each crop production period, an ecosystem attribute is generated by applying one or more ecosystem attribute quantification methods to each spatially and temporally unique set of one or more farming practices. Selection of one or more program is optimized for each field based on the set of selected programs being compatible within the field and production period.

Abstract: Systems, methods, and computer program products for maintaining a collection of ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, an ecosystem attribute target profile for the collection of ecosystem credit tokens is accessed. The target profile comprises a set of ecosystem characteristics, quantities of one or more ecosystem characteristics, and permanence of one or more ecosystem characteristics. A set of ecosystem credit tokens is accessed, wherein each ecosystem credit token data record comprises one or more of: a validated and verified management event, a methodology, an ecosystem attribute, a boundary, an ecosystem impact, an ecosystem credit, and an ecosystem attribute quantification method. A current profile of the collection of ecosystem credit tokens is determined, wherein the profile comprises the set of ecosystem characteristics within the collection, quantities of ecosystem characteristics, and permanence of ecosystem characteristics.

Abstract: This invention relates to methods and compositions for providing a benefit to a plant by associating the plant with a beneficial endophyte of the genus Streptomyces, including benefits to a plant derived from a seed or other plant element treated with said endophyte. For example, this invention provides purified endophytes, synthetic combinations comprising endophytes, and methods of making and using the same. In particular, this invention relates to compositions and methods of improving soybean and maize plants.

Abstract: Systems, methods, and computer program products for recommending farming practices based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. Management event data comprising one or more management events within the one or more fields is received. For each management event, a management event boundary defining geospatial boundaries is received, and one or more management zones is determined based on the management event boundaries. The determination of one or more management zones comprises sequentially intersecting a geospatial boundary. Each sequential intersection operation creating two branches, one with the intersection of the geometries and one with the difference.

Abstract: This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed-origin bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal seeds and/or seedlings) with heterologous seed-derived bacterial endophytes.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: This invention relates to methods and materials for modulating seed nutritional quality traits of seeds produced by a wheat, cotton, soybean, or maize plant, said plant having been heterologously disposed to, or grown from, a plant element treated with an endophyte.

Abstract: Materials and methods for improving plant traits and for providing plant benefits are provided. In some embodiments, the materials, and methods employing the same, can comprise endophytes.

Abstract: The present invention relates to methods of scalably producing microorganisms by propagating them within plant tissues and introducing them into agricultural seeds to improve their shelf-life during long-term storage, to produce substances of interest, and to create libraries of microbes.

Abstract: Detection of field irrigation through remote sensing is provided. In various embodiments, at least one time series of index rasters for a geographic region is read. A time series of weather data for the geographic region is read. The at least one time series of index rasters and the time series of weather data are divided into a plurality of time windows. The at least one time series of index rasters is composited within each of the plurality of time windows, yielding a composite index raster for each of the at least one time series of index rasters in each of the plurality of time windows. The time series of weather data is composited within each of the plurality of time windows, yielding composite weather data in each of the plurality of time windows. The composite index rasters and composite weather data are provided to a trained classifier. A pixel irrigation label for each pixel of the composite index rasters is obtained therefrom.

Abstract: This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant or a Glycine plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal or soy seeds and/or cereal or soy seedlings) with heterologous seed-derived bacterial endophytes.

Abstract: This invention relates to methods and materials for providing a benefit to a plant by associating the plant with a complex endophyte comprising a host fungus further comprising a component bacterium, including benefits to a plant derived from a seed or other plant element treated with a complex endophyte. For example, this invention provides purified complex endophytes, purified complex endophyte components such as bacteria or fungi, synthetic combinations comprising said complex endophytes and/or components, and methods of making and using the same.

Abstract: An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

Abstract: In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

Abstract: Materials and methods for improving plant traits and for providing plant benefits are provided. In some embodiments, the materials, and methods employing the same, can comprise endophytes.

Abstract: This invention relates to methods and materials for modulating the characteristics of a plant, said plant having been heterologously disposed to an endophyte or a plurality of endophytes, or derived from a plant reproductive element heterologously disposed to an endophyte or a plurality of endophytes.