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公开(公告)号：US12033230B2
公开(公告)日：2024-07-09
申请号：US16793786
申请日：2020-02-18
发明人： Andrew T. Penrose , Jitendra Singh , Himanshu Gupta , Vijay Arya
CPC分类号： G06Q50/165 , G06F30/27 , G06N5/04 , G06N20/00 , G06T17/05 , G06F16/29 , G06T2207/20081
摘要： One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.
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公开(公告)号：US11928699B2
公开(公告)日：2024-03-12
申请号：US17219272
申请日：2021-03-31
发明人： Smitkumar Narotambhai Marvaniya , Ranjini Bangalore Guruprasad , Shantanu R. Godbole , Kedar Kulkarni , Jitendra Singh , Geeth Ranmal de Mel , Richard J. Tomsett , Komminist Weldemariam
IPC分类号： G06Q10/04 , G06F16/9032 , G06F16/9537 , G06N5/022 , G06N5/025 , G06Q30/0204
CPC分类号： G06Q30/0205 , G06F16/90332 , G06F16/9537 , G06N5/022 , G06N5/025 , G06Q10/04
摘要： Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.
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公开(公告)号：US20230367034A1
公开(公告)日：2023-11-16
申请号：US17663552
申请日：2022-05-16
发明人： Saurav Basu , Lloyd A. Treinish , Mukul Tewari , Sushain Pandit , Jitendra Singh
摘要： In a method for intelligently executing predictive simulator, a processor may input a previous input vector of conditions for a predictive simulator collected at a first time into a machine-learning (ML) model. A processor may input a current input vector of conditions for the predictive simulator collected at a second time into the ML model. A processor may determine using the ML model, a binary similarity index. The binary similarity index represents a prediction of similarity between a first output from the predictive simulator based on the previous input and a second output from the predictive simulator based on the current input.
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公开(公告)号：US20230177730A1
公开(公告)日：2023-06-08
申请号：US17544436
申请日：2021-12-07
IPC分类号： G06T9/00
CPC分类号： G06T9/00
摘要： Methods, systems, and computer program products for stochastic compression of raster data are provided herein. A computer-implemented method includes obtaining at least one compression ratio and at least one error value for a given set of raster data; compressing at least a portion of the given set of raster data based at least in part on the at least one compression ratio and the at least one error value; transmitting the compressed raster data, to at least one given destination, based at least in part on a given transmission speed variable; and performing one or more automated actions based at least in part on the transmitted compressed raster data.
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公开(公告)号：US20220318831A1
公开(公告)日：2022-10-06
申请号：US17219272
申请日：2021-03-31
发明人： Smitkumar Narotambhai Marvaniya , Ranjini Bangalore Guruprasad , Shantanu R. Godbole , Kedar Kulkarni , Jitendra Singh , Geeth Ranmal de Mel , Richard J. Tomsett , Komminist Weldemariam
IPC分类号： G06Q30/02 , G06N5/02 , G06F16/9032 , G06F16/9537 , G06Q10/04
摘要： Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.
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公开(公告)号：US11382260B2
公开(公告)日：2022-07-12
申请号：US16780833
申请日：2020-02-03
发明人： Mukul Tewari , Jitendra Singh , Kuntal Dey
摘要： Method, apparatus, and computer program product are provided for estimating crop type and/or sowing date. In some embodiments, a historical crop growth time series and a plurality of simulated crop growth time series are determined, and the historical time series is matched against each simulated time series to determine an estimated crop type and/or sowing date. For example, one simulated time series may be determined for each crop type/sowing date combination within a set of one or more crop types and one or more sowing dates based on historical crop data. Each time series represents crop growth in an area of interest and comprises element(s) including crop-specific parameter(s), such as leaf area index (LAI). The historical time series may be determined based on remote sensor data. Each simulated time series may be determined using a crop growth simulation model and based on historical crop data, geospatial data, and weather data.
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公开(公告)号：US20210350295A1
公开(公告)日：2021-11-11
申请号：US16871794
申请日：2020-05-11
发明人： Jitendra Singh , Mukul Tewari , Kuntal Dey
IPC分类号： G06Q10/06 , G06Q50/02 , G06Q30/02 , G06Q30/06 , G06N20/00 , G06K9/00 , G06T11/00 , A01B79/00
摘要： Method, apparatus, and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments, a farm region is determined based on farm definition data, and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel set, crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel set. In some embodiments, the farm region is categorized into a plurality of sub-farms each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map, along with recommended antidote options.
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公开(公告)号：US20210073925A1
公开(公告)日：2021-03-11
申请号：US16561071
申请日：2019-09-05
发明人： Jitendra Singh , Saurav Basu , Mukul Tewari , Lloyd A Treinish
摘要： A computer-implemented method can include obtaining irrigation data. The method can further include obtaining a first set of watering rates. The method can further include generating a first set and a second set of soil moisture estimates. The first and second sets of soil moisture estimates can be based at least in part on the irrigation data. The method can further include obtaining a custom constraint and making a first determination that the first set of soil moisture estimates satisfies the custom constraint. The method can further include obtaining a moisture reference value in response to making the first determination. The moisture reference value can be based at least in part on the second set of soil moisture estimates. The method can further include making a second determination that the moisture reference value exceeds a first threshold, and generating an irrigation plan in response to making the second determination.
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公开(公告)号：US11487047B2
公开(公告)日：2022-11-01
申请号：US16930195
申请日：2020-07-15
发明人： Jitendra Singh , Mukul Tewari , Seema Nagar , Kuntal Dey
摘要： In an approach for forecasting environmental occlusion events, a processor receives a spatio-temporal zone of interest. A processor collects data associated with the spatio-temporal zone of interest. A processor builds a machine-learning model using the data. A processor generates an occlusion probability map for the spatio-temporal zone of interest based on the machine-learning model and enriched mathematical operators. A processor outputs the occlusion probability map.
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公开(公告)号：US20220207621A1
公开(公告)日：2022-06-30
申请号：US17136249
申请日：2020-12-29
发明人： Jitendra Singh , Seema Nagar , Kuntal Dey , Prabhat Manocha
摘要： A method for providing feedback between separate neural networks to predict crop yield of a polyculture by combining the crop yield predictions from the neural networks is described. The method includes configuring a set of neural networks, each neural network in the set of neural networks predicting crop yield for a respective crop from a set of crops based on a set of crop growth time series, one crop growth time series for each respective crop, the set of crops being grown in a polyculture. A crop simulator generates the set of crop growth time series based on application rates of farm inputs that are provided to the crop simulator. The method further includes determining a predicted crop yield of the polyculture at a timepoint after a predetermined duration by iteratively changing and applying application rates of farm inputs based on the crop growth time series.
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