公开(公告)号：US12171196B2

公开(公告)日：2024-12-24

申请号：US17663653

申请日：2022-05-16

Applicant: Tata Consultancy Services Limited

Inventor： Vaibhav Sadashiv Lonkar ,  Dinesh Kumar Singh ,  Karthik Srinivasan ,  Shubhadra Varma Pusapati ,  Saibhargavi Gurram ,  Jayantrao Mohite ,  Sanat Sarangi ,  Srinivasu Pappula ,  Suryakant Ashok Sawant

IPC: A01K29/00 ,  A01K1/00 ,  G06K19/07 ,  G06V40/10 ,  G06V40/20

Abstract: Monitoring of animals in a herd has various challenges. A method and a system for monitoring and measuring the behavior of a plurality of animals in a herd chamber is provided. The disclosure provides a method to develop a model to identify the animal interactions between a given set of herds of two or more animals. The system uses image, RFID sensors, animal phenotyping information such as species, breed, age and reproduction cycle information to generate an animal profile. This profile is used to quantify the interaction into an aggression score to the animals in the given herd. The aggression score over a given duration can help herd manager to put the animals with similar aggression score together. This will also help analyze the temporal aspects of the aggression score for a given animal and take preventive measures.

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：US12131456B2

公开(公告)日：2024-10-29

申请号：US17661895

申请日：2022-05-03

Applicant: Tata Consultancy Services Limited

Inventor： Rajatkumar Shrivastav ,  Swagatam Bose Choudhury ,  Sanat Sarangi ,  Karthik Srinivasan ,  Vaibhav Sadashiv Lonkar ,  Nagameena Neelakantapillai ,  Dinesh Kumar Singh ,  Srinivasu Pappula

IPC: G06T7/00 ,  G06T5/70 ,  G06T7/11 ,  G06V20/68

CPC classification number: G06T7/0004 ,  G06T5/70 ,  G06T7/11 ,  G06V20/68 ,  G06T2207/10024 ,  G06T2207/30128

Abstract: State of art techniques mostly rely of computationally intensive, time consuming Neural Networks. Embodiments provide a method and system for identification and classification of different grain and adulterant types for grain grading analysis. The method analyzes input image of grain sample of elements to determine morphological features of elements, using dynamically determined calibration factor from reference object in the image. Variation in perimeter of elements is used to perform classification of elements into target grain size, low size adulterants and higher size adulterants. The aspect ratio of target grain determines grain variety and adulterants determine adulteration percentage. Elements are classified into grain colored and non-grain colored adulterants. Grain colored adulterants are further classified as Grain Like Impurities and non-GLI, using predefined ranges of standard deviation of perimeter metric. Weight of grain colored adulterants and non-grain colored adulterant is obtained using mapping of predefined weights to the aspect ratio.

公开(公告)号：US11977031B2

公开(公告)日：2024-05-07

申请号：US17753540

申请日：2021-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Suryakant Ashok Sawant ,  Jayantrao Mohite ,  Srinivasu Pappula

IPC: G01N21/84 ,  G01N21/33 ,  G01N21/359 ,  G01N21/64

CPC classification number: G01N21/84 ,  G01N21/33 ,  G01N21/359 ,  G01N21/64 ,  G01N2021/8466 ,  G01N2201/0627

Abstract: A processor implemented method of detecting a concentration of plurality of chemical residue in an agricultural produce is provided. The method include (a) receiving, by a hyper spectral device, a data set associated with one or more reflectance measurements of the agricultural produce; (b) determining, data associated with a plurality of bands; (c) dynamically reiterating, the steps (a) and (b) at predetermined time interval to obtain a trained dataset; (d) determining, relevant wavelengths among the selected trained data sets based on a feature selection technique to form an array of emitters; (e) calibrating, by the identified array of emitters, to emit light on the detecting region of one or more sample of the agricultural produce to obtain data associated with reflectance and transmittance; and (f) calculating, a calibration index with a de-multiplication flag to detect presence or absence of the plurality of chemical residue in the agricultural produce.

公开(公告)号：US11132495B1

公开(公告)日：2021-09-28

申请号：US17136593

申请日：2020-12-29

Applicant: Tata Consultancy Services Limited

Inventor： Pankaj Doke ,  Karan Bhavsar ,  Sujit Shinde ,  Sanjay Kimbahune ,  Srinivasu Pappula ,  Harsh Vishwakarma ,  Sylvan Lobo ,  Akhilesh Srivastava

IPC: G06F40/109 ,  G06F40/284 ,  G06F3/0485 ,  G06F3/0481

Abstract: State of the art viewport design approach faces challenge in addressing customization of view port design. A method and device for dynamic view port generation providing enhanced viewport usability of text messages to be displayed on screen by considering type of user and customized typeface is provided. Determining of a customized typeface is based on user's reading capability tested during initial type face set up by the device. The customization of typeface includes applying kerning spacing and glyphs adjustment to squeeze area of the displayed text, still maintaining less ambiguity during reading. For received messages to be displayed, maximum size of window for a viewport is obtained on-the-fly with a constraint of maximum or optimal number of viewports displayed at a time on device screen. NLP is applied to each message to condense text in the message such that maximum information is conveyed while displaying minimum words.

公开(公告)号：US10679330B2

公开(公告)日：2020-06-09

申请号：US16022239

申请日：2018-06-28

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Prakruti Vinodchandra Bhatt ,  Sanat Sarangi ,  Srinivasu Pappula

IPC: G06T7/00 ,  G06N3/08 ,  G06K9/62

Abstract: The present disclosure addresses the technical problem of enabling automated inferencing of changes in spatio-temporal images by leveraging the high level robust features extracted from a Convolutional Neural Network (CNN) trained on varied contexts instead of data dependent feature methods. Unsupervised clustering on the high level features eliminates the cumbersome requirement of labeling the images. Since models are not trained on any specific context, any image may be accepted. Real time inferencing is enabled by a certain combination of unsupervised clustering and supervised classification. A cloud-edge topology ensures real time inferencing even when connectivity is not available by ensuring updated classification models are deployed on the edge. Creating a knowledge ontology based on adaptive learning enables inferencing of an incoming image with varying levels of precision. Precision farming may be an application of the present disclosure.

公开(公告)号：US20170188521A1

公开(公告)日：2017-07-06

申请号：US15066891

申请日：2016-03-10

Applicant: Tata Consultancy Services Limited

Inventor： Bhushan Gurmukhdas Jagyasi ,  Jayantrao Mohite ,  Srinivasu Pappula

IPC: A01G1/00 ,  A01C14/00 ,  A01M17/00 ,  G01W1/00 ,  A01M99/00

CPC classification number: A01G22/00 ,  A01C14/00 ,  A01M17/00 ,  A01M99/00 ,  G01W1/00 ,  G06Q10/04 ,  G06Q10/067 ,  G06Q50/02

Abstract: Presence of natural enemies has a considerable impact on pest severity in a given geo-location. However, manually estimating pest severity or population of natural enemies is cumbersome, inaccurate and not scalable. Systems and methods of the present disclosure enable estimating effective pest severity index by receiving a first set of inputs pertaining to weather associated with a geo-location under consideration; receiving a second set of inputs pertaining to agronomic information; generating a pest forecasting model and a natural enemies forecasting model based on the received first set and the second set of inputs for each pest; and estimating the effective pest severity index based on the generated models. The timing and quantity of pesticide application can be optimized based on the estimated pest severity index. The generated models can be further enhanced continually based on one or more of historical data, participatory sensing inputs, crowdsourcing inputs and management practices.