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

Ayurveda Clinical e-Learning (AyurCeL) Portal – Clinical Case Repository of Ayurveda Physicians
Ayurveda Clinical e-Learning (AyurCeL) Portal – Clinical Case Repository of Ayurveda Physicians
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
Synthesis, characterization and liquid Crystalline Studies of Azo and Schiff Base Containing Porphyrin Complex
Synthesis, characterization and liquid Crystalline Studies of Azo and Schiff Base Containing Porphyrin Complex
Autonomous Guidance System for Visually Impaired in a Library
Autonomous Guidance System for Visually Impaired in a Library
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Admissions Apply Now