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

Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
Physics Virtual Labs
Physics Virtual Labs
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
Construction of a Prototype of Microbial Fuel Cell
Construction of a Prototype of Microbial Fuel Cell
Antimicrobial Activity of Selected Plant Extracts on Multi Drug Resistant Staphylococcus Aureus
Antimicrobial Activity of Selected Plant Extracts on Multi Drug Resistant Staphylococcus Aureus
Admissions Apply Now