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

Health Economics Perspective for Rural Sanitation
Health Economics Perspective for Rural Sanitation
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Material Composition and Fabrication of Plastic Bricks
Material Composition and Fabrication of Plastic Bricks
IoT for Smart Farming
IoT for Smart Farming
Feature based Transfer Function Design for Volume Rendering
Feature based Transfer Function Design for Volume Rendering
Admissions Apply Now