公开(公告)号：US20240185598A1

公开(公告)日：2024-06-06

申请号：US18385581

申请日：2023-10-31

Applicant: Tata Consultancy Services Limited

Inventor： Shailesh Shankar DESHPANDE ,  Jayantrao Mohite ,  Mariappan Sakkan ,  Suryakant Ashok Sawant ,  Srinivasu Pappula ,  Balamuralidhar Purushothaman

IPC: G06V20/10 ,  G06Q30/018 ,  G06Q50/02 ,  G06V10/764 ,  G06V10/766 ,  G06V10/774 ,  G06V20/50

CPC classification number: G06V20/188 ,  G06Q30/018 ,  G06Q50/02 ,  G06V10/764 ,  G06V10/766 ,  G06V10/774 ,  G06V20/194 ,  G06V20/50

Abstract: This disclosure relates generally to method and system to calculate net carbon sequestration for agriculture using remote sensing data. Climate change is one of the factor in sustainable development on the earth and has sparked numerous initiatives to reduce earth's carbon footprint. The disclosed method processes remote sensing data comprising one or more input images indicating one or more characteristics of at least one agriculture crop of a geographical region. The method calculates a carbon footprint value of at least one agriculture crop by obtaining a plurality of carbon values associated with the geographical region. A net carbon flux of least one agriculture crop is calculated based on the carbon footprint value, a data maturity index, and a difficulty level. The method enables growers and carbon credit purchasers to correctly determine the carbon footprint of a geographical region to accurately predict the reduction of greenhouse gas emissions reducing environmental degradation.

公开(公告)号：US12159456B2

公开(公告)日：2024-12-03

申请号：US17451664

申请日：2021-10-21

Applicant: Tata Consultancy Services Limited

Inventor： Jayantrao Mohite ,  Suryakant Ashok Sawant ,  Ankur Pandit ,  Srinivasu Pappula ,  Mariappan Sakkan

IPC: G06V20/10 ,  G06T7/70

Abstract: The disclosure herein relates to identification of agro-phenological zones. Further the disclosed method and system also shares techniques for updating of the identified/existing agro-phenological zones. In a diverse geographical domain (like India), in order to maximize the crop production (avoid crop failures) from the available resources and prevailing diverse climatic conditions it necessary to use the resources and technology to infer the best agriculture approach on an individual location. The invention enables identification of the agro-phenological zones based on satellite image, weather data, soil data and cloud free historical satellite data using several techniques that includes machine learning, time series analysis, heuristic time series analysis technique and clustering. Further the invention also discloses techniques to update the identified/existing agro-phenological zones using historic data of agro-phenological zones of satellite image.

公开(公告)号：US12182751B2

公开(公告)日：2024-12-31

申请号：US17813371

申请日：2022-07-19

Applicant: Tata Consultancy Services Limited

Inventor： Jayantrao Mohite ,  Srinivasu Pappula ,  Suryakant Ashok Sawant ,  Vaibhav Sadashiv Lonkar ,  Mariappan Sakkan ,  Ankur Pandit

IPC: G06Q10/0639 ,  A01B79/00 ,  G06F16/29 ,  G06Q50/02 ,  G06T7/11 ,  G06V10/75 ,  G06V20/00 ,  G06V20/10 ,  G06V20/13

Abstract: Agriculture is impacted due to various parameters that results into heavy losses to the crops. Existing methods rely on manual inventories from fields and statistical results are prone to errors thus classification of crops may not be accurate. Present disclosure provides systems and methods for detection and prediction of disguised and potential non-performing assets (NPAs) in agriculture. Disguised NPAs detection involves, obtaining satellite data from sources and natural calamity, detecting of crop for past years, crop growth, estimating yields, market prices for individual years, AC zones, etc. wherein a generate performance score is generated for each field for classifying crop as disguised NPA. Predicting potential NPAs includes obtaining current season satellite data, data received from the fields via sensors, determining crop protocol being followed, forecast weather, estimating cumulative growth, feedback received from fields, projected yield, estimating crop losses, and then performance score is generated for predicting crops as potential NPA.