Abstract: A computer-based method for training and subsequently applying a machine-learning (ML) model to accelerate development of improved plant-based products comprising: (a) collecting into a database seed data including at least parentage information with genetics; (b) training a first ML model based on seed data collected for each data type for each seed variety; (c) establishing a functional specification for the plant-based product; (d) extracting plant traits needed to meet the functional specification; (e) inputting those plant traits into the trained first ML model to generate a predictive breeding crosses list ranked on probability that a progeny of a cross will substantially conform to one or more of those plant traits; (f) collecting data from the progeny planted based on the crosses list; and (g) comparing the collected progeny data to corresponding predictions made by the first ML model toward determining next action recommended by the first ML model.

Abstract: Techniques for recommending side-by-side plantings of pairs of seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of seeds and first data for agricultural fields where the seeds were planted. The server receives second data for available seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.

Abstract: Techniques for recommending side-by-side plantings of pairs of hybrids or seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first data for agricultural fields where the hybrid seeds were planted. The server receives second data for available hybrids and seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.

Abstract: A system for determining performance data of plants growing in a field. The system comprises a mass flow meter for generating mass data related to the mass of plant product passed through the mass flow meter, and that is communicatively connected to a computer based data processing system; a temperature sensor for determining the temperature of the air adjacent the mass flow meter or within the mass flow meter, and that communicatively connected to the computer based data processing system, and a moisture sensor for determining the moisture of air adjacent the mass flow meter or within the mass flow meter, and that is communicatively connected to the computer based data processing system. The computer based data processing system is structured and operable to utilize the mass data, the air temperature and the air moisture to determine a yield of the plants from which the plant product was harvested.

Abstract: Techniques are provided for receiving a first set of historical agricultural data and a second set of historical agricultural data; generating a plurality of projected target yield ranges using the first set and the second set of historical agricultural data by generating a historic yield distribution; generating one or more yield ranking scores for one or more fields of a grower using the first set of historical agricultural data, and assigning a projected target yield range of the plurality of projected target yield ranges to each of the one or more fields based on the one or more yield ranking scores to generate assigned projected target yield ranges; receiving a third set of historical agricultural data comprising seed optimization data, and generating a recommended change in seed population or a recommended change in seed density; causing displaying the yield improvement recommendation for each of the one or more fields.

Abstract: A system for determining performance data of plants growing in a field. The system comprises a mass flow meter for generating mass data related to the mass of plant product passed through the mass flow meter, and that is communicatively connected to a computer based data processing system; a temperature sensor for determining the temperature of the air adjacent the mass flow meter or within the mass flow meter, and that communicatively connected to the computer based data processing system, and a moisture sensor for determining the moisture of air adjacent the mass flow meter or within the mass flow meter, and that is communicatively connected to the computer based data processing system. The computer based data processing system is structured and operable to utilize the mass data, the air temperature and the air moisture to determine a yield of the plants from which the plant product was harvested.

Abstract: Techniques are provided for receiving a first set of historical agricultural data and a second set of historical agricultural data; generating a plurality of projected target yield ranges using the first set and the second set of historical agricultural data by generating a historic yield distribution; generating one or more yield ranking scores for one or more fields of a grower using the first set of historical agricultural data, and assigning a projected target yield range of the plurality of projected target yield ranges to each of the one or more fields based on the one or more yield ranking scores to generate assigned projected target yield ranges; receiving a third set of historical agricultural data comprising seed optimization data, and generating a recommended change in seed population or a recommended change in seed density; causing displaying the yield improvement recommendation for each of the one or more fields.

Abstract: Techniques are provided for automatically assigning hybrid products or seed products to agricultural fields with optimal yield performance.

Abstract: The present invention relates to breeding methods to enhance the germplasm of a plant. The methods describe the identification and accumulation of preferred haplotype genomic regions in the germplasm of breeding populations of maize (Zea mays) and soybean (Glycine max). The invention also relates to maize and soybean plants comprising preferred haplotypes.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: A method of forming a cut path that includes the steps of selecting a first image line and a second closed image line surrounding an enclosed area, Overlying the second closed image line on the first image line and identifying a pair of intersections between the first image line and the second closed image line, and making a determination to turn one of right or left at both of the intersections of the pair of intersections to add portions of the second closed image line lying between the intersections with portions of the first image line to form a cut-path.

Abstract: Polymorphic soybean DNA loci useful for genotyping between at least two varieties of soybean. Sequences of the loci are useful for providing the basis for designing primers and probe oligonucleotides for detecting polymorphisms in soybean DNA. Polymorphisms are useful for genotyping applications in soybean. The polymorphic markers are useful to establish marker/trait associations, e.g. in linkage disequilibrium mapping and association studies, positional cloning and transgenic applications, marker-aided breeding and marker-assisted selection, hybrid prediction and identity by descent studies. The polymorphic markers are also useful in mapping libraries of DNA clones, e.g. for soybean QTLs and genes linked to polymorphisms.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: Polymorphic cotton DNA loci useful for genotyping between at least two varieties of cotton. Sequences of the loci are useful for providing the basis for designing primers and probe oligonucleotides for detecting polymorphisms in cotton DNA. Polymorphisms are useful for genotyping applications in cotton. The polymorphic markers are useful to establish marker/trait associations, e.g. in linkage disequilibrium mapping and association studies, positional cloning and transgenic applications, marker-aided breeding and marker-assisted selection, hybrid prediction and identity by descent studies. The polymorphic markers are also useful in mapping libraries of DNA clones, e.g. for cotton QTLs and genes linked to polymorphisms.

Abstract: The present invention provides breeding methods and compositions to enhance the germplasm of a plant. The methods describe the identification and accumulation of transgenes and favorable haplotype genomic regions in the germplasm of a breeding population of crop plants.

Abstract: Polymorphic corn DNA loci useful for genotyping between at least two varieties of corn. Sequences of the loci are useful for providing the basis for designing primers and probe oligonucleotides for detecting polymorphisms in maize DNA. Polymorphisms are useful for genotyping applications in corn. The polymorphic markers are useful to establish marker/trait associations, e.g. in linkage disequilibrium mapping and association studies, positional cloning and transgenic applications, marker-aided breeding and marker-assisted selection, hybrid prediction and identity by descent studies. The polymorphic markers are also useful in mapping libraries of DNA clones, e.g. for corn QTLs and genes linked to polymorphisms.