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    METHODS AND SYSTEMS FOR SUB-FIELD SOIL NUTRIENT MANAGEMENT
    5.
    发明公开
    METHODS AND SYSTEMS FOR SUB-FIELD SOIL NUTRIENT MANAGEMENT 审中-公开

    公开(公告)号：US20240354653A1

    公开(公告)日：2024-10-24

    申请号：US18642729

    申请日：2024-04-22

    申请人： ADVANCED AGRILYTICS HOLDINGS, LLC

    发明人： Jon J. Fridgen ,  William Kess Berg ,  Aaron W. Gault

    IPC分类号： G06N20/00 ,  A01C21/00 ,  A01G7/00

    CPC分类号： G06N20/00 ,  A01C21/005 ,  A01C21/007 ,  A01G7/00

    摘要： 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.

    Systems to prescribe and deliver fertilizer over agricultural fields and related methods
    8.
    发明授权
    Systems to prescribe and deliver fertilizer over agricultural fields and related methods 有权

    公开(公告)号：US12118625B2

    公开(公告)日：2024-10-15

    申请号：US16154485

    申请日：2018-10-08

    申请人： CLIMATE LLC

    发明人： David P. Groeneveld

    IPC分类号： G06Q50/02 ,  A01B79/00 ,  A01C21/00 ,  G06Q10/0631

    CPC分类号： G06Q50/02 ,  A01B79/005 ,  A01C21/00 ,  A01C21/007 ,  G06Q10/06313 ,  G06Q10/06315

    摘要： A computer-implemented method of prescribing spatially-variable application rates of one or more nutrients for an agricultural field is disclosed. The method comprises calculating, by a processor, an average NDVI* map for a crop across multiple prior crop-growing seasons for discrete pixels of the agricultural field; identifying, by the processor, a target yield for the crop in the agricultural field for an upcoming crop-growing season; calculating a provisional average nutrient application rate of a nutrient based on a replacement amount of the nutrient consumed at harvest for the crop and the target yield for the crop in the agricultural field; determining an average nutrient credit of the crop in the agricultural field for a prior crop growing season of the multiple prior crop-growing seasons; calculating a final average nutrient application rate of the nutrient for the target yield for the crop in the agricultural field based on the average nutrient credit and the provisional average nutrient application rate; computing a linear slope for a spatially-variable nutrient application guide based on the final average nutrient application rate and a median NDVI* value of the average NDVI* map; prescribing spatially-variable nutrient application rates of the nutrient across the agricultural field based on the linear slope to the NDVI* map for each of the discrete pixels.

    Soil-climate intelligent type determining method for rice target yield and nitrogen fertilizer amount
    9.
    发明授权
    Soil-climate intelligent type determining method for rice target yield and nitrogen fertilizer amount 有权

    公开(公告)号：US12112105B1

    公开(公告)日：2024-10-08

    申请号：US18582309

    申请日：2024-02-20

    申请人： China Agricultural University

    发明人： Mingsheng Fan ,  Yaojun Wang ,  Yanan Hao ,  Fenglu Niu

    IPC分类号： G06F30/20 ,  A01C21/00

    CPC分类号： G06F30/20 ,  A01C21/007

    摘要： A soil-climate intelligent type determination method for rice target yield and nitrogen fertilizer amount includes steps: construct a basic database; obtain historical weather data from the region where the rice planting area is to be determined over the past few years, and obtain real-time GFS weather data of the region in a predicted year; obtain 100 m×100 m grid sampling point soil data and a rice field vector layer of rice planting area to be determined; obtain at least three years of nitrogen fertilizer gradient test data of the rice planting area to be determined, rice variety information and management data of each farmer in each year; obtain accurate weather data of the prediction year; prepare soil data of 100 m×100 m plot-scale; localize genetic parameters of the rice growth model DSSAT; and run the localized DSSAT model to predict the plot-scale target yield and recommend the nitrogen application amount.