Abstract: A system of soil carbon measurement is provided. The system includes a multimodal sensor payload that includes multiple sensors that are each a different sensor type and that are configured to estimate quantities of carbon stored in a soil area. The sensors include multiple stand-off sensor technologies.

Abstract: A bus emulator device includes a first computer, a second computer, and an information interface. The first computer is configured to connect to a main bus system. The first computer includes at least write access into the information interface, and the second computer includes only read access into the information interface. In other aspects, the first computer includes only write access into the information interface, and the second computer includes at least read access into the information interface.

Abstract: Methods, systems and devices for mobile detection of soil compaction and soil characteristic data are provided. Operations include causing a subsurface portion of soil at a compaction detection location to be disrupted using compressed air, generating disruption data corresponding to the disruption of the subsurface portion of the soil at the compaction detection location, generating geographic location data corresponding to the compaction detection location, receiving the geographic location data from the location device and the disruption data from the disruption sensor and associating the geographic location data with the disruption data.

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 devices for using machine learning to optimize crop residue management are provided. Operations of such methods include receiving, using a processing circuit and from multiple of sensors, crop residue data of a surface of a soil area, receiving, into the processing circuit and from a location sensor, geographic location data that corresponds to the crop residue data and generating multizone tillage data that is based on the crop residue data and that corresponds to a plurality of zones that are defined in the soil area.

Abstract: Methods, systems and devices for determining optimized tillage of a soil area are provided. Operations include transmitting, using at least one sensor, a data set regarding a physical, chemical and/or biological aspect of the soil area. Operations include receiving, using at least one computing device, the data set regarding the physical, chemical and/or biological aspect of the soil area. The at least one computing device removes a set of redundant data and the at least one computing device enhances a set of data that is not the set of redundant data. Operations include generating a visualization of the set of data that is not redundant data. The data that is not redundant data provides a data set reflecting a soil compaction measurement within the soil area and the soil area is not deeper than 36 inches from a surface of the soil area.

Abstract: The present disclosure describes computer systems and computer-implemented methods for use in an agricultural operation. Vehicle location information for at least one agricultural vehicle is received, and the vehicle location information is used to determine a vehicle path. Vehicle state information is received from the vehicle and is used to determine whether the vehicle is in a working or non-working state. The vehicle path is then rendered on a map display, with the map display visually distinguishing between sections of the vehicle path traversed while the vehicle is in the working state and sections of the vehicle path traversed while the vehicle is in the non-working state.

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: Described herein are methods and compositions for improving plant growth and other properties. The methods and compositions utilize bacteria and bacterial exudates incorporated into plant seeds for improvement of plant growth and other properties.

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: Methods, systems and devices for determining optimized tillage of a soil area are provided. Operations include transmitting, using at least one sensor, a data set regarding a physical, chemical and/or biological aspect of the soil area. Operations include receiving, using at least one computing device, the data set regarding the physical, chemical and/or biological aspect of the soil area. The at least one computing device removes a set of redundant data and the at least one computing device enhances a set of data that is not the set of redundant data. Operations include generating a visualization of the set of data that is not redundant data. The data that is not redundant data provides a data set reflecting a soil compaction measurement within the soil area and the soil area is not deeper than 36 inches from a surface of the soil area.

Abstract: An orchard sanitation implement disposes of unharvested nuts which may otherwise be utilized as habitat and food for navel orangeworms. Unharvested nuts are lifted from the orchard floor and delivered to a storage bin of the implement. Once received within the storage bin, the unharvested nuts are separated from other orchard debris by a looping belt which allows unharvested nuts to fall through, but other orchard debris is conveyed outside of the storage bin for deposit either into a container or back to the orchard floor. The unharvested nuts fall through openings in the looping belt, through an outlet at the bottom of the storage bin and into a shredding unit attached to the outlet. The shredding unit shreds and pulverizes the unharvested nuts into a composition which is too small to be utilized by navel orangeworms for habitat or a source of food.

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: 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: 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.