Back close

AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  

AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  

This ongoing project approved by Marico, employs an AI-powered image recognition algorithm to detect micronutrient deficiencies in coconut trees, using machine learning models trained on labelled nutrient deficiency datasets. The algorithm analyses images of tree trunks and leaves to accurately and efficiently pinpoint deficiencies that pose threats to coconut cultivation productivity by providing farmers and experts with an automated precision tool to manage plantations proactively, the project ultimately aims to enhance sustainability, yield, and prosperity across the coconut farming industry.  

Related Projects

Smart Services and Optimization for Microgrids (SSOM)
Smart Services and Optimization for Microgrids (SSOM)
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
Screening for reading Difficulty 
Screening for reading Difficulty 
Connected Autonomous Vehicles
Connected Autonomous Vehicles
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Admissions Apply Now