Dr.Kalpesh Borse
Indian Institute of Technology Bhubaneswar, Indian Institute of Water Management, Sardar Vallabhbhai National Institute of Technology, Sardar Vallabhbhai National Institute of Technology Surat
About
Hello everyone, currently I am working as Principal Project Officer at the AI and HPC Research Center (AHRC), Indian Institute of Technology (IIT) Bhubaneswar, India. My research focuses on the development of intelligent Decision Support Systems (DSS) for climate-smart agriculture through the integration of artificial intelligence, geospatial technologies, digital twins, remote sensing, and Internet of Things (IoT) applications. My current work includes AI-based crop yield prediction, digital twin platforms for agricultural systems, precision agriculture, climate resilience, and data-driven solutions for sustainable water and agricultural resource management. He is actively involved in interdisciplinary research aimed at improving agricultural productivity, resource-use efficiency, and climate adaptation through advanced machine learning and geospatial analytics.
Employment
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Indian Institute of Technology Bhubaneswar Principal Project Officer2026 - Present
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Indian Institute of Water Management Research Associate2022 - 2026
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Mahatma Phule Krishi Vidyapeeth Research Associate2019 - 2022
Education
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Sardar Vallabhbhai National Institute of Technology DOCTORAL2016 - 2023
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Sardar Vallabhbhai National Institute of Technology Surat M.Tech2013 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- Adaptive neuro fuzzy inference system based multicrop yield prediction in the semi arid region of India Save
- Application of Decision Tree (M5Tree) Algorithm for Multicrop Yield Prediction of the Semi-Arid Region of Maharashtra, India Save
- Adaptive Neuro-Fuzzy Inference System-Based Yield Forecast Using Climatic Variables Save
- Effectiveness of Python Programming Training Programme Through Perceptions of Students Trainees Save
- Trends of Rainfall, Temperature and Rice Yield of Nashik Region of Maharashtra Save
- Prediction of Crop Yields Based on Fuzzy Rule-Based System (FRBS) Using the Takagi Sugeno-Kang Approach Save