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公开(公告)号：US11425628B2
公开(公告)日：2022-08-23
申请号：US16099936
申请日：2017-05-08
Applicant: Tata Consultancy Services Limited
Inventor： Sanat Sarangi , Srinivasu Pappula
Abstract: A system and method for achieving auto-adaptive clustering in a sensor network has been explained. The system performs a hierarchical clustering in sensor networks to maximize the lifetime of the network. The system includes a set of sensor nodes and a sink node. The clusters in sensor networks are formed automatically from a large number of deployed nodes where the cluster characteristics are driven by the measurement requirements defined by the end-user. The system also employs a clustering algorithm to achieve adaptive clustering. The processor further includes a first level clustering module for grouping the set of sensor nodes into data level clusters based on the measurements. The processor further includes a second level clustering module for grouping the set of sensor nodes in the data level clusters into the location level clusters based on location. In another embodiment, that clustering can go on to more than two levels.
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2.发明申请
公开(公告)号：US20180315135A1
公开(公告)日：2018-11-01
申请号：US15926654
申请日：2018-03-20
Applicant: Tata Consultancy Services Limited
Inventor： Sanat Sarangi , Bhushan Gurmukhdas Jagyasi , Somya Sharma
Abstract: Traceability of agricultural activities is very critical to market compliance. Mere automation of traditionally monitored agricultural activities alone may not address the challenge of providing a simple yet flexible and predictable method of effective and real time monitoring of agricultural activities around the farm that may be used to compute crop protocol for any crop under consideration. The systems and methods of the present disclosure facilitate automatic identification of crop protocol irrespective of the type of the crop and agricultural activities associated thereof. Real time monitoring of the agricultural activities also enable farm personnel to conclude on effects of dynamic changes in crop protocol thereby allowing continuous building up of the repository of agro-climatic zone based information associated with the farm. Regulating crop protocol results in a predictable increase in efficiency and sustainability of crop yield that helps farm personnel to optimize productivity.
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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
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.
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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
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.
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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
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.
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公开(公告)号：US12039730B2
公开(公告)日：2024-07-16
申请号：US17372725
申请日：2020-01-15
Applicant: Tata Consultancy Services Limited
Inventor： Jayantrao Mohite , Sanjay Kimbahune , Srinivasu Pappula , Dineshkumar Singh , Sanat Sarangi
CPC classification number: G06T7/0014 , G01N33/0098 , G06V10/762 , G06V20/13 , G06V20/188 , G06V20/90 , G06T2207/10032 , G06T2207/30188
Abstract: Plant health estimation is required to be performed so as to detect any health issues in early stages, so as to take counter measures. Existing systems for the plant health estimation perform the health estimation by considering data obtained from satellite images of the plants being monitored. However this alone may not be much effective as the satellite images fail to provide information on many parameters which have direct or indirect impact on health of the plants. Disclosed herein are a method and a system for plant health estimation, wherein the system performs health estimation at a macro level and a micro level. The macro level health estimation is done using satellite images of the plants as inputs, whereas the micro level health estimation is done by collecting and processing sensor data with respect to various parameters that affect health of a plant.
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公开(公告)号：US11989886B2
公开(公告)日：2024-05-21
申请号：US17371650
申请日：2020-02-07
Applicant: Tata Consultancy Services Limited
Inventor： Prakruti Vinodchandra Bhatt , Sanat Sarangi , Srinivasu Pappula
IPC: G06T7/136 , G06T7/00 , G06T7/11 , G06T7/174 , G06V10/26 , G06V10/764 , G06V10/77 , G06V10/776 , G06V10/82 , G06V10/94 , G06V20/68
CPC classification number: G06T7/136 , G06T7/0012 , G06T7/11 , G06T7/174 , G06V10/26 , G06V10/764 , G06V10/7715 , G06V10/776 , G06V10/82 , G06V10/95 , G06V20/68 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188 , G06T2207/30242
Abstract: Existing techniques in precision farming comprise supervised event detection and need labeled training data which is tedious considering the large number of crops, differences therein and even larger number of diseases and pests. The present disclosure provides an unsupervised method and uses images of any size captured in an uncontrolled environment. The methods and systems disclosed find application in automatically localizing and classifying events, including health state and growth stage and also estimating an extent of manifestation of the event. Information of spatial continuity in pixels and boundaries in a given image is used to update the feature representation and label assignment to every pixel using a fully convolutional network. Back propagation of the pixel labels modified according to the output of a graph based method helps the neural network to converge and provide a time efficient solution.
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公开(公告)号：US11880981B2
公开(公告)日：2024-01-23
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
CPC classification number: G06T7/13 , G06F18/24147 , G06T5/002 , G06T5/009 , G06T7/187 , G06V10/267 , G06V10/56 , G06T2207/30188
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.
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9.发明授权
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
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.
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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
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.
