-
公开(公告)号：US11779005B1
公开(公告)日：2023-10-10
申请号：US16897677
申请日：2020-06-10
发明人： William Kess Berg , Jon J. Fridgen
IPC分类号： A01M7/00 , G08B3/10 , B60Q5/00 , G06F3/0482 , G06F3/0484 , G05D1/02 , G06Q50/02
CPC分类号： A01M7/0089 , B60Q5/005 , G05D1/0219 , G06F3/0482 , G06F3/0484 , G06Q50/02 , G08B3/10
摘要： A method for systematic application of agricultural products includes receiving a label, analyzing the label to generate procedures, receiving a product and field selection, generating a prescription including a map and the procedures, executing the procedures in the field, and displaying the map. A computing system includes a processor and a memory storing instructions that, when executed by the processor, cause the computing system to: receive a label, analyze the label to generate procedures, receive a product and field selection, generate a prescription including a map and the procedures, execute the procedures in the field, and display the map. A non-transitory computer readable medium stores program instructions that when executed, cause a computer to receive a label, analyze the label to generate procedures, receive a product and field selection, generate a prescription including a map and the procedures, execute the procedures in the field, and display the map.
-
公开(公告)号：US20230126363A1
公开(公告)日：2023-04-27
申请号：US18088259
申请日：2022-12-23
IPC分类号： G06V20/10 , G06N20/00 , A01B79/00 , G06F18/214
摘要： A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed. A computer-implemented method includes receiving a machine data set; processing the machine data set with a trained machine-learned model to generate predicted variety profile index values; and causing a visualization to be displayed. A non-transitory computer-readable medium includes computer-executable instructions that, when executed by one or more processors, cause a computer to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed.
-
公开(公告)号：US20220392213A1
公开(公告)日：2022-12-08
申请号：US17694661
申请日：2022-03-14
摘要： A computing system includes a processor and a non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to access an initial machine data set; label the machine data set; process the labeled machine data set; and modify one or more parameters of the machine-learned model. A method includes accessing an initial machine data set; labeling the machine data set; processing the labeled machine data set; and modifying one or more parameters of the machine-learned model. A computing system for predicting a variety profile index includes a processor; and a non-transitory, computer-readable media including a trained machine-learned model; and instructions that, when executed by the one or more processors, cause the computing system to process a second machine data set to generate one or more predicted variety profile index values; and provide the one or more predicted variety profile index values.
-
公开(公告)号：US12008447B1
公开(公告)日：2024-06-11
申请号：US18136186
申请日：2023-04-18
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 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.
-
公开(公告)号：US20240037938A1
公开(公告)日：2024-02-01
申请号：US18377693
申请日：2023-10-06
IPC分类号： G06V20/10 , G06N20/00 , A01B79/00 , G06F18/214
CPC分类号： G06V20/188 , G06N20/00 , A01B79/005 , G06F18/2155
摘要： A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained deep learning model to generate predicted variety profile index values; and cause a visualization to be displayed.
-
公开(公告)号：US20240013101A1
公开(公告)日：2024-01-11
申请号：US18369883
申请日：2023-09-19
摘要： A method for determining topographic attributes and environmental characteristics for environments includes determining respective topographic attributes and respective underlying environmental characteristics by processing raw machine data corresponding to environments encoded into respective hexagrid data structures; and storing the respective hexagrid data structures in memory. A computing system includes a processor; and a memory storing instructions that, when executed by the one or more processors, cause the computing system to determine respective topographic attributes and respective underlying environmental characteristics by processing raw machine data corresponding to environments encoded into respective hexagrid data structures; and store the respective hexagrid data structures in memory. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to determine respective topographic attributes and respective underlying environmental characteristics by processing raw machine data corresponding to environments encoded into respective hexagrid data structures; and store the respective hexagrid data structures in memory.
-
公开(公告)号：US20210265066A1
公开(公告)日：2021-08-26
申请号：US17103836
申请日：2020-11-24
摘要： A computer-implemented method for providing an agricultural recommendation based on environmental matching includes collecting an underlying environmental characteristic corresponding to an agricultural environment, generating matches of the agricultural environment to a trials; and determining the recommendation based on the matches. A computing system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the computing system to collect an environmental characteristic corresponding to an agricultural environment, generate matches of the agricultural environment to trials; and determine the recommendation based on the matches. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to collect an environmental characteristic corresponding to an agricultural environment, generate matches of the agricultural environment to trials; and determine the recommendation based on the matches.
-
公开(公告)号：US20240354652A1
公开(公告)日：2024-10-24
申请号：US18642724
申请日：2024-04-22
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 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.
-
公开(公告)号：US11797895B2
公开(公告)日：2023-10-24
申请号：US17827247
申请日：2022-05-27
摘要： A method includes receiving raw machine data; determining topographic attributes and underlying environmental characteristics; encoding the respective topographic attributes and the underlying environmental characteristics in hexagrid data structures; and storing the hexagrid data structures in a memory. A computing system includes a processor; and a memory storing instructions that, when executed by the one or more processors, cause the computing system to: receive raw machine data; determine topographic attributes and underlying environmental characteristics; encode the respective topographic attributes and the underlying environmental characteristics in hexagrid data structures; and store the hexagrid data structures in the memory. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to: receive raw machine data; determine topographic attributes and underlying environmental characteristics; encode the respective topographic attributes and the underlying environmental characteristics in hexagrid data structures; and store the hexagrid data structures in a memory.
-
公开(公告)号：US11783578B2
公开(公告)日：2023-10-10
申请号：US18088259
申请日：2022-12-23
IPC分类号： G06V20/10 , G06N20/00 , A01B79/00 , G06F18/214
CPC分类号： G06V20/188 , A01B79/005 , G06F18/2155 , G06N20/00
摘要： A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed. A computer-implemented method includes receiving a machine data set; processing the machine data set with a trained machine-learned model to generate predicted variety profile index values; and causing a visualization to be displayed. A non-transitory computer-readable medium includes computer-executable instructions that, when executed by one or more processors, cause a computer to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed.
-
-
-
-
-
-
-
-
-
搜索结果
29 条记录 (耗时 0.015 秒)
