Galgotias University Awarded Rs 42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection

Galgotias University Awarded ₹42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection Greater Noida (Uttar Pradesh) [India], March 18: Galgotias University has secured ₹42 Lakh research grant from IIT Bombay’s Technology Innovation Hub for IoT (TIH-IoT). The funding, awarded under the Technology Development Program, will support the project titled “Development of Intelligent Ripening [...]

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Mar 18, 2026 • 9:17 PM  13
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Galgotias University Awarded Rs 42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection
“Galgotias University Awarded Rs 42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection”
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18 Mar 2026
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Galgotias University Awarded Rs 42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection

Galgotias University Awarded ₹42 Lakh Research Grant by IIT Bombay to Develop Intelligent Ripeness Detection

Greater Noida (Uttar Pradesh) [India], March 18: Galgotias University has secured ₹42 Lakh research grant from IIT Bombay’s Technology Innovation Hub for IoT (TIH-IoT). The funding, awarded under the Technology Development Program, will support the project titled “Development of Intelligent Ripening Detector for Mango and Watermelon.”

TIH-IoT is a not-for-profit Section 8 company established at IIT Bombay. It operates under the National Mission on Interdisciplinary Cyber-Physical Systems, an initiative implemented by the Department of Science and Technology , Government of India.

The focus of the project is to develop a cost-effective, portable, and intelligent ripening detection system which can identify ripening stages and detect artificial ripening in different species of mango and watermelon. Dr. Agniv Tapadar, Assistant Professor in the Department of Electrical, Electronics and Communication Engineering at Galgotias University, is the Principal Investigator of the project.

The intelligent system will use a novel sensor-based approach and intrinsic impedance sensing that will be able to analyse the internal features of the fruits without causing any external damage to them. With this study, researchers will be able to efficiently assess fruit quality across different growth stages.

Dr. Agniv Tapadar, faculty said that University always supports interdisciplinary innovation at the intersection of agriculture, sensing technologies, and intelligent systems. This project also aligns with the goals of the National Mission on Interdisciplinary Cyber-Physical Systems.

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