公开(公告)号：US12087052B2

公开(公告)日：2024-09-10

申请号：US17756073

申请日：2021-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Jayantrao Mohite ,  Suryakant Ashok Sawant ,  Srinivasu Pappula

IPC: G06K9/00 ,  G06V10/25 ,  G06V10/75 ,  G06V20/10 ,  G06V20/13

CPC classification number: G06V20/188 ,  G06V10/25 ,  G06V10/751 ,  G06V20/13

Abstract: Crop loss estimation allows a user to monitor and estimate damage to the crops due to various natural events/factors. State of the art systems used for the crop loss estimation have the disadvantage that they do not convey to the users extent of damage. In addition to this, the existing methods do not take into account the recovery factor of the crops due to multiple factors and end up in overestimating the loss. The disclosure herein generally relates to crop monitoring, and, more particularly, to a method and system for crop loss estimation. In this method, crop loss is assessed based on real-time weather parameters and remote sensing data collected and processed, and crops are classified as being in one of a repairable damage class and a permanent damage class. The system also quantifies the crop loss, which allows the user to understand magnitude of the crop loss.

公开(公告)号：US12033368B2

公开(公告)日：2024-07-09

申请号：US17585108

申请日：2022-01-26

Applicant: Tata Consultancy Services Limited

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

IPC: G06V10/48 ,  G06F18/214 ,  G06N20/00 ,  G06V10/74 ,  G06V10/774 ,  G06V20/10 ,  G06V20/13

CPC classification number: G06V10/48 ,  G06N20/00 ,  G06V10/761 ,  G06V10/774

Abstract: Machine Learning models to be created for crop mapping for any region, require huge volumes of ground truth data requiring manual effort in generating region specific training dataset. Method and system for providing generalized approach for crop mapping across regions with varying characteristics is disclosed. The method provides automatic generation of a labelled pixel dataset representing cropping pattern of a Region of Interest (ROI) for building a ML crop mapping model for the ROI. The generated labelled pixel dataset captures regional dependency and localized phenological indicators for the ROI. ML crop mapping model is updated using a database, regularly updated for the set of crops and the plurality of features associated with each of the set of crops and corresponding the set of crops.

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：US11893788B2

公开(公告)日：2024-02-06

申请号：US17431134

申请日：2020-02-14

Applicant: Tata Consultancy Services Limited

Inventor： Jayantrao Mohite ,  Sanjay Kimbahune ,  Dineshkumar Singh ,  Suryakant Sawant ,  Subhadra Varma Pusapati ,  Srinivasu Pappula

IPC: G06V20/10 ,  G06V10/20

CPC classification number: G06V20/188 ,  G06V10/255

Abstract: Stubble burning is a serious problem resulting in pollution attributable to smog, loss of nutrients in the top soil, and risk of fires spreading out of control. Existing methodologies have attempted to predict burning areas, but have failed to do so because of inefficient sensing mechanism. Present disclosure proposes a system and method to compute burning index score pertaining to crops by detecting harvest season and predicting probable areas of burning by combining current year's crop area map along with harvesting period and historical hot spot information. Computation of the burning index score is accomplished based on inputs received from at least one of satellite imaging, multi-spectral drone based sensing devices and crowdsourcing information. This will help to prioritize the area for taking corrective measures such as training of farmers, availability of resources, optimizing the resources schedule, etc.

公开(公告)号：US20220130051A1

公开(公告)日：2022-04-28

申请号：US17446725

申请日：2021-09-02

Applicant: Tata Consultancy Services Limited

Inventor： Prakruti Vinodchandra Bhatt ,  Sanat Sarangi ,  Srinivasu Pappula ,  Avil SAUNSHI

IPC: G06T7/13 ,  G06K9/34 ,  G06K9/46 ,  G06T7/187 ,  G06T5/00 ,  G06K9/62

Abstract: This disclosure relates generally to estimating age of a leaf using morphological features extracted from segmented leaves. Traditionally, leaf age estimation requires a single leaf to be plucked from the plant and its image to be captured in a controlled environment. The method and system of the present disclosure obviates these needs and enables obtaining one or more full leaves from images captured in an uncontrolled environment. The method comprises segmenting the image to identify veins of the leaves that further enable obtaining the full leaves. The obtained leaves further enable identifying an associated plant species. The method also discloses some morphological features which are fed to a pre-trained multivariable linear regression model to estimate age of every leaf. The estimated leaf age finds application in estimation of multiple plant characteristics like photosynthetic rate, transpiration, nitrogen content and health of the plants.

公开(公告)号：US11294940B2

公开(公告)日：2022-04-05

申请号：US16063539

申请日：2017-02-09

Applicant: Tata Consultancy Services Limited

Inventor： Sanat Sarangi ,  Praneet Padinchare Vazhayil ,  Saranya Ramanath ,  Gopu Chandrasenan ,  Srinivasu Pappula

IPC: G06F16/29 ,  G06F16/25 ,  G06F16/28 ,  G06Q50/02 ,  G06F16/00 ,  G06F16/2457 ,  G06N5/04 ,  G06F16/22

Abstract: The present disclosure provides methods and systems for automated identification of agro-climatic zones. The methods deal with receiving parameters pertaining to ambience and soil from various external systems for a geographical region via one or more interaction methods. The parameters may be raw data or derived from raw data, homogenized and stored in a generic and hierarchical format for easy consumption. Inference is drawn from the parameters and associated attributes by comparing with historic attributes available in a knowledge base module for a corresponding agro-climatic zone. Inferences may also be made from parameters available in encoded form such as images, videos and ontological knowledge. Based on the comparison, a score is generated that reflects the degree of compliance with pre-defined agro-climatic zones.

公开(公告)号：US11055447B2

公开(公告)日：2021-07-06

申请号：US16231203

申请日：2018-12-21

Applicant: Tata Consultancy Services Limited

Inventor： Prachin Lalit Jain ,  Sanat Sarangi ,  Prakruti Vinodchandra Bhatt ,  Srinivasu Pappula

IPC: G06F13/10 ,  G06F30/00 ,  H04L29/08 ,  G01N33/24 ,  G01W1/04 ,  G01W1/14 ,  G01N33/00

Abstract: This disclosure relates to precision agriculture that relies on monitoring micro-climatic conditions of a farm to make accurate disease forecasts for better crop protection and improve yield efficiency. Conventional systems face challenge in managing energy and bandwidth of transmission considering the humongous volume of data generated in a field through IoT based sensors. The present disclosure provides energy-efficient adaptive parameter sampling from the field by optimally configuring the parameter sampling rate thereby maximizing energy-efficiency. This helps reduce unnecessary traffic to a cloud while extending network lifetime.

公开(公告)号：US12298739B2

公开(公告)日：2025-05-13

申请号：US17661921

申请日：2022-05-04

Applicant: Tata Consultancy Services Limited

Inventor： Prachin Lalit Jain ,  Sanket Junagade ,  Sanat Sarangi ,  Srinivasu Pappula

IPC: G05B19/4155

Abstract: State of the art systems used for monitoring of land (for example, agricultural land), fail to accurately assess various conditions in the land area and make predictions. The disclosure herein generally relates to agricultural systems, and, more particularly, to a method and system for micro-climate management in a land area being monitored. The system groups the different plots based on sensor trend information and based on a determined homogeneity information. A micro-climate view of the land area is accordingly generated, which in turn is used to generate micro-climate predictions.

公开(公告)号：US12242974B2

公开(公告)日：2025-03-04

申请号：US17646820

申请日：2022-01-03

Applicant: Tata Consultancy Services Limited

Inventor： Pankaj Doke ,  Sujit Devkar ,  Sylvan Lobo ,  Karan Bhavsar ,  Sujit Shinde ,  Sanjay Kimbahune ,  Akhilesh Srivastava ,  Srinivasu Pappula ,  Harsh Vishwakarma ,  Bhaskar Pawar ,  Rajesh Urkude

IPC: G06N5/01 ,  G06F18/2323 ,  G06Q10/0637

Abstract: A method and system that allows on-the-fly synthesis and evaluation of services a scale has been provided. The method and system provide a mechanism where the service offering and their price points are accessible in a machine format and allow themselves to be lent to synthesize new service offerings with budgetary constraints, within the parameters of the predefined time windows. The system allows both a service provider and a service consumer to use a shared screen environment for service synthesis and valuation with the service provider playing the role of navigator. The system comprises of re-routing and navigating a plurality of nodes in the service composition graphs based on specified optimization parameters as chosen by the service consumer and tuned by the service provider. The method comprises of generation of the graph and graph traversal algorithms for along with service composition nodes and their specifications.

公开(公告)号：US12175680B2

公开(公告)日：2024-12-24

申请号：US17594378

申请日：2020-11-19

Applicant: Tata Consultancy Services Limited

Inventor： Prachin Lalit Jain ,  Swagatam Bose Choudhury ,  Prakruti Vinodchandra Bhatt ,  Sanat Sarangi ,  Srinivasu Pappula

IPC: G06T7/136 ,  G01N21/88 ,  G01N21/956 ,  G01N33/24 ,  G06T7/12 ,  G06V10/30 ,  G06V10/44

Abstract: This disclosure relates generally to a system and method for monitoring performance of low-cost sensors plied in a field for soil moisture measurement. The low-cost sensors are calibrated to give useful derived parameters to support farming such as volumetric water content (VWC) of the soil. Further, the steps are being incorporated to de-noise their response to derive stable measurements similar to expensive rugged sensors. The calibration of the low-cost sensor and normalization of incoming values from the low-cost sensor are based on values determined through rugged sensors for soil moisture measurement. The normalization involves finding a minimum value and maximum value of soil moisture. Performance of the low-cost sensors are analyzed based on a range of values of the soil moisture. Finally, the performance analysis provides degradation stages and based on the degradation stages evaluated recommendations to modify the sensor are shared with the user.