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

MetaSim
MetaSim
Automated Traffic Sign Recognition System For Indian Roads
Automated Traffic Sign Recognition System For Indian Roads
Expression and refolding of Recombinant Staphylococcal Amidases in E. Coli
Expression and refolding of Recombinant Staphylococcal Amidases in E. Coli
Matrix Binding microbes and bacteriophages to counter infection
Matrix Binding microbes and bacteriophages to counter infection
Design and Evaluation of DRFM Mitigation System
Design and Evaluation of DRFM Mitigation System
Admissions Apply Now