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Srinivasu Pappula
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Conference and Workshop Papers
- 2024
- [c47]Abhishek Kumar, Swagatam Bose Choudhury, Sanket Junagade, Sanat Sarangi, Dineshkumar Singh, Srinivasu Pappula:
Towards Precision Withering in Tea Factories with Non-Invasive Leaf Moisture Estimation. COMSNETS 2024: 177-182 - [c46]Sanket Junagade, Sanat Sarangi, Swagatam Bose Choudhury, Ruturaj Patil, Dineshkumar Singh, Srinivasu Pappula:
Robust Estimation of Plucking Points Across Seasonal Flushes in Tea with UAV Imaging. GHTC 2024: 262-269 - [c45]Swagatam Bose Choudhury, Rushikesh Kulat, Ruturaj Patil, Abhishek Kumar, Sanat Sarangi, Nandan Rajpoot, Ajay Mittal, Dineshkumar Singh, Srinivasu Pappula:
On Digital Twin for a High Yielding Soybean Variety Towards Optimal Field Recommendations. GHTC 2024: 270-277 - [c44]Rushikesh Kulat, Swagatam Bose Choudhury, Vidit Patil, Sanat Sarangi, Dineshkumar Singh, Srinivasu Pappula:
Effective Regional Prediction for Potato Stress Conditions Across Rabi Seasons. GHTC 2024: 278-285 - [c43]Ruturaj Patil, Hemavathy B, Sanat Sarangi, Dineshkumar Singh, Rupayan Chakraborty, Sanket Junagade, Srinivasu Pappula:
Identifying Indian Cattle Behaviour Using Acoustic Biomarkers. ICPRAM 2024: 594-602 - [c42]Jayantrao Mohite, Suryakant A. Sawant, Ankur Pandit, Srinivasu Pappula:
Forest Aboveground Biomass Estimation Using GEDI Observations Over Indian Forest. IGARSS 2024: 4276-4279 - [c41]Jayantrao Mohite, Suryakant A. Sawant, Ankur Pandit, Srinivasu Pappula:
Sugarcane Area Mapping with Zero Labels Using Hybrid Unsupervised and Supervised Approach. IGARSS 2024: 4916-4919 - 2023
- [c40]Sanket Junagade, Swagatam Bose Choudhury, Ruturaj Patil, Ajay Mittal, Sanat Sarangi, Nandan Rajpoot, Suresh Neelakandan, Dineshkumar Singh, Srinivasu Pappula:
Robust Detection of Plant Features with Overhead Imaging in a Range of Crop and Weed Scenarios. GHTC 2023: 318-321 - [c39]Rushikesh Kulat, Ruturaj Patil, Swagatam Bose Choudhury, Ajay Mittal, Sanat Sarangi, Mariappan Sakkan, Hemavathy B, Dineshkumar Singh, Srinivasu Pappula:
Monitoring and Impact Assessment of Farm Practices in Horticulture Crops with Digital Twins. GHTC 2023: 456-459 - [c38]Ankur Pandit, Suryakant A. Sawant, Jayantrao Mohite, Nandan Rajpoot, Srinivasu Pappula:
Estimation of Wheat Crop Height Using Multivariate Regression and Sentinel-1-Derived Radar Backscatter Response. IGARSS 2023: 3398-3401 - [c37]Ankur Pandit, Pradhyumn Bansal, Suryakant A. Sawant, Jayantrao Mohite, Srinivasu Pappula:
Machine Learning-Based Approach for Tillage Identification Using Sentinel-1 Data. IGARSS 2023: 3406-3409 - [c36]Jayantrao Mohite, Suryakant A. Sawant, Rishabh Agrawal, Ankur Pandit, Srinivasu Pappula:
Detection of Cover Crop Using Time-Series Remote Sensing Observations. IGARSS 2023: 3430-3433 - [c35]Jayantrao Mohite, Suryakant A. Sawant, Ankur Pandit, Srinivasu Pappula:
Estimation of Soil Organic Carbon and Bulk Density for Carbon Stock Assessment in Croplands Using the Sentinel-1 and 2 Observations. IGARSS 2023: 3494-3497 - 2022
- [c34]Rushikesh Kulat, Mariappan Sakkan, Prachin Jain, Sanat Sarangi, Srinivasu Pappula:
Assessment of Emissions with Carbon-smart Farming Practices and Participatory Sensing in Rice. GHTC 2022: 38-45 - [c33]Prachin Jain, Swagatam Bose Choudhury, Sanat Sarangi, Srinivasu Pappula:
Enhancing Stress Prediction Models for Rice with Ambient and Field Data in Rabi 2019-20. GHTC 2022: 257-264 - [c32]Swagatam Bose Choudhury, Sanket Junagade, Sanat Sarangi, Srinivasu Pappula:
UAV-assisted Multi-modal Detection and Severity Assessment for Red Spider Mites in Tea. GHTC 2022: 373-376 - [c31]Jayantrao Mohite, Suryakant A. Sawant
, Ankur Pandit, Srinivasu Pappula:
Spatial Downscaling of Vegetation Optical Depth Using the Modis and Srtm Observations. IGARSS 2022: 5870-5873 - [c30]Jayantrao Mohite, Suryakant A. Sawant
, Rishabh Agarwal, Ankur Pandit, Srinivasu Pappula:
Detection Of Crop Water Stress In Maize Using Drone Based Hyperspectral Imaging. IGARSS 2022: 5957-5960 - 2021
- [c29]Jayantrao Mohite, Suryakant A. Sawant
, Ankur Pandit, Srinivasu Pappula:
Simulation of Sentinel-2 data using Hyperspectral Data for Bare Surface Soil Moisture Estimation. Agro-Geoinformatics 2021: 1-5 - [c28]Suryakant A. Sawant
, Rishabh Agarwal, Jayantrao Mohite, Ankur Pandit, Srinivasu Pappula:
Field Boundary Identification using Convolutional Neural Network and GIS on High Resolution Satellite Observations. Agro-Geoinformatics 2021: 1-6 - [c27]Mariappan Sakkan, Sanat Sarangi, Swagatam Bose Choudhury, Prachin Jain, Hemavathy B, Rajesh Urkude, Srinivasu Pappula:
Disease Assessment in Rice with Pervasive Stationary and Mobile Sensing - Learnings from Rabi 2019-20. COMSNETS 2021: 50-54 - [c26]Swagatam Bose Choudhury, Sanat Sarangi, Srinivasu Pappula:
Optimal Deployment Planning to Maximize Coverage of Agricultural Operations with Effective Resource Utilization. GHTC 2021: 147-154 - [c25]Sanket Junagade, Prachin Jain, Sanat Sarangi, Srinivasu Pappula:
Digital Display Recognition towards Connected Sensing Systems for Precision Agriculture. GHTC 2021: 155-162 - [c24]Ankur Pandit, Suryakant A. Sawant
, Jayantrao Mohite, Srinivasu Pappula:
Assessing InSAR Coherence for Quantification of Agriculture Area Affected by Rainfall Events in Gujrat, India. IGARSS 2021: 6761-6764 - [c23]Jayantrao Mohite, Suryakant A. Sawant
, Ankur Pandit, Ajay Mittal, Srinivasu Pappula:
Investigating the Performance of Hyperspectral and Simulated Sentinel-2 Data for Soybean Canopy Nitrogen Estimation. IGARSS 2021: 7059-7062 - 2020
- [c22]Sanat Sarangi, Prachin Jain, Prakruti Bhatt, Swagatam Bose Choudhury, Mitali Pal, Sujal Kallamkuth, Srinivasu Pappula, Kailyanjeet Borah:
Effective Plantation Management with Crowd-sensing and Data-driven Insights: A Case Study on Tea. GHTC 2020: 1-8 - [c21]Jayantrao Mohite, Suryakant A. Sawant
, Ankur Pandit, Srinivasu Pappula:
Integration of Sentinel 1 and 2 Observations for Mapping Early and Late Sowing of Soybean and Cotton Crop Using Deep Learning. IGARSS 2020: 1941-1944 - [c20]Ankur Pandit, Suryakant A. Sawant
, Jayantrao Mohite, Srinivasu Pappula:
Development of Geospatial Processing Frameworks for Sentinel-1, -2 Satellite Data. IGARSS 2020: 3123-3126 - [c19]Dineshkumar Singh
, Jayantrao Mohite, Suryakant A. Sawant
, Srinivasu Pappula:
Monitoring and Analysis of Viirs Fire Events Data Over Indian States of Punjab and Haryana. IGARSS 2020: 4538-4541 - 2019
- [c18]Jayantrao Mohite, Suryakant A. Sawant
, Mariappan Sakkan, Praveen Shivalli, Krishnaiah Kodimela, Srinivasu Pappula:
Spatialization of rice crop yield using Sentinel-1 SAR and Oryza Crop Growth Simulation Model. Agro-Geoinformatics 2019: 1-6 - [c17]Suryakant A. Sawant
, Jayantrao Mohite, Mariappan Sakkan, Srinivasu Pappula:
Near Real Time Crop Loss Estimation using Remote Sensing Observations. Agro-Geoinformatics 2019: 1-5 - [c16]Sanat Sarangi, Vinayak Naik
, Swagatam Bose Choudhury, Prachin Jain, Vinay Kosgi, Rahul Sharma, Prakruti Bhatt, Srinivasu Pappula:
An Affordable IoT Edge Platform for Digital Farming in Developing Regions. COMSNETS 2019: 556-558 - [c15]Swagatam Bose Choudhury, Prachin Jain, Sujal Kallamkuth, Saranya Ramanath, Prakruti V. Bhatt, Sanat Sarangi, Srinivasu Pappula:
Precision Crop Monitoring with Affordable IoT: Experiences with Okra. GIoTS 2019: 1-6 - [c14]Prakruti Bhatt, Sanat Sarangi, Srinivasu Pappula:
Unsupervised Image Segmentation using Convolutional Neural Networks for Automated Crop Monitoring. ICPRAM 2019: 887-893 - [c13]Prakruti Bhatt, Sanat Sarangi, Anshul Shivhare, Dineshkumar Singh
, Srinivasu Pappula:
Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting. ICPRAM 2019: 894-899 - [c12]Jayantrao Mohite, Suryakant A. Sawant
, Kailyanjeet Borah, Srinivasu Pappula:
Temporal Detection of Pesticide Residues in Tea Leaves Using Hyperspectral Sensing. IGARSS 2019: 7274-7277 - 2018
- [c11]Ajay Mittal, Sanat Sarangi, Saranya Ramanath, Prakruti V. Bhatt, Rahul Sharma, Srinivasu Pappula:
IoT-Based Precision Monitoring of Horticultural Crops - A Case-Study on Cabbage and Capsicum. GHTC 2018: 1-7 - [c10]Sanat Sarangi, Swagatam Bose Choudhury, Prachin Jain, Prakruti V. Bhatt, Saranya Ramanath, Rahul Sharma, Srinivasu Pappula:
Development and Deployment of a Scalable IoT Framework for Digital Farming Applications. GHTC 2018: 1-2 - [c9]Prachin Jain, Sanat Sarangi, Prakruti Bhatt, Srinivasu Pappula:
Development of an Energy-efficient Adaptive IoT Gateway Model for Precision Agriculture. GIoTS 2018: 1-6 - [c8]Prakruti Bhatt, Sanat Sarangi, Srinivasu Pappula:
Coarse Clustering and Classification of Images with CNN Features for Participatory Sensing in Agriculture. ICPRAM 2018: 488-495 - [c7]Jayantrao Mohite, Navin Twarakavi, Srinivasu Pappula:
Evaluating the Potential of Sentinel-2 for Low Severity Mites Infestation Detection in Grapes. IGARSS 2018: 4651-4654 - 2017
- [c6]Jayantrao Mohite, Manushi Trivedi, Aishwarya Surve, Minal Sawant, Rajesh Urkude, Srinivasu Pappula:
Hybrid classification-clustering approach for export-non export grape area mapping and health estimation using Sentinel-2 satellite data. Agro-Geoinformatics 2017: 1-6 - [c5]Prakruti Bhatt, Sanat Sarangi, Srinivasu Pappula:
Comparison of CNN models for application in crop health assessment with participatory sensing. GHTC 2017: 1-7 - 2016
- [c4]Somya Sharma, Sanat Sarangi, Srinivasu Pappula:
A framework for performance evaluation of plucking activity in tea. GHTC 2016: 14-21 - [c3]Jayantrao Mohite, Bhushan G. Jagyasi, Sonali Kulkarni, Srinivasu Pappula:
Citrus Gummosis disease severity classification using participatory sensing, remote sensing and weather data. IGARSS 2016: 6378-6381 - [c2]Sanat Sarangi, Srinivasu Pappula:
Adaptive Data-Centric Clustering with Sensor Networks for Energy Efficient IoT Applications. LCN 2016: 398-405 - 1996
- [c1]Sankaran Karthik, Mark Aitken, Glidden Martin, Srinivasu Pappula, Bob Stettler, Praveen Vishakantaiah, Manuel A. d'Abreu, Jacob A. Abraham:
Distributed Mixed Level Logic and Fault Simulation on the Pentium® Pro Microprocessor. ITC 1996: 160-166
Informal and Other Publications
- 2016
- [i1]Prateek Gupta, Bhushan G. Jagyasi, Bighnaraj Panigrahi, Hemant Kumar Rath, Srinivasu Pappula, Anantha Simha:
A Revolutionary Rural Agricultural Participatory Sensing Approach Using Delay Tolerant Networks. CoRR abs/1612.02927 (2016)
Coauthor Index

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