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8846 result(s) found
Smart Storage System 2

This project focuses on minimizing post-harvest onion losses caused by seasonal fluctuations in temperature and humidity, which lead to rotting, sprouting, and shrinkage. Currently, onions are stored in bulk in ventilated warehouses, resulting in sto

Section: Academic Innovations (Innovations)
Relaibility Testing

This project aims to test and refine TIH’s agri-tech solutions—SAMBHAV, SOHAM, and the iSARATHI app—before commercialization. By deploying these systems in farmers' fields over one crop cycle, the team will evaluate performance, gather feedback

Section: Academic Innovations (Innovations)
Smear Technology to Detect and Monitor Sickle Cell Disease

In the case of sickle cell disease, we monitor viscosity changes under deoxygenation conditions. To support these diagnostics, we aim to develop a commercial smear preparation device and an IoT-enabled imaging system. Initial laboratory testing will

Section: Academic Innovations (Innovations)
Development of machine learning models for predicting obstructive sleep apnea

This project, a collaboration between IIT Bombay and AIIMS Delhi, aims to develop machine learning models to assist in the diagnosis of Obstructive Sleep Apnea (OSA). By analyzing data from overnight polysomnography (PSG), the models will help reduce

Section: Academic Innovations (Innovations)
Harnessing IoT and ML-based Technology for Onion Crop Management at Pre-harvest stages: Evaluating the Role of Predictive Models for Disease, fertigation and irrigation management in shaping Onion Farming

This collaborative project between TIH-IoT, IIT Bombay and ICAR-DOGR aims to validate an IoT and machine learning-based decision support system for onion farmers. The system integrates the SAMBHAV™ IoT device with the i-SARATHI mobile application t

Section: Academic Innovations (Innovations)
Rationalizing IoT and ML-based Vineyard Management Methods in Farmers’ Fields

This project, a collaboration between TIH-IoT and ICAR-NRCG, aims to develop and validate an IoT and machine learning-based decision support system for grape farmers. The system leverages real-time data on soil conditions, weather, leaf wetness, and

Section: Academic Innovations (Innovations)
Advancing Sustainable Agriculture through Soil Microbiome Analysis for Predictive Plant Disease Management

This project integrates soil microbiome analysis, IoT-based environmental sensing, and machine learning to enable early detection of root diseases in crops like tomato, potato, and cucumber. By combining Dna/qPCR pathogen identification with real-tim

Section: Academic Innovations (Innovations)
IoT-based Soil Parameter Tester for Subhash Palekar natural multi-cropping Farming

This project aims to develop a low-cost, accurate, and easy-to-use soil nutrient testing system using screen-printed nano-material–based electrochemical sensors. These nanosensors offer high sensitivity and selectivity for detecting key nutrients l

Section: Academic Innovations (Innovations)
IoT-Based Hybrid Energy Efficient Storage System for Small-Scale Farmers

This project introduces an affordable, IoT-enabled, hybrid energy-powered grain storage system designed to reduce the 30–40% post-harvest losses faced by small farmers in India. The system monitors and controls temperature, humidity, and pest activ

Section: Academic Innovations (Innovations)
Development of Portable Kit -An Alternative to Traditional Post-Harvest Management

This project develops a portable, IoT-enabled photodynamic disinfection kit that uses a non-toxic Vitamin B2 spray and visible light (455–476 nm) to rapidly inactivate microbial Dna/Rna on food and surfaces. The system offers an affordable, energy-

Section: Academic Innovations (Innovations)
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