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

Run-time Analysis of Temporal Constrained Objects
Run-time Analysis of Temporal Constrained Objects
eGovernance Big Data Analytics Platform
eGovernance Big Data Analytics Platform
AI-Enabled Distribution Grid Asset Monitoring for Improve Protection and Sustainability
AI-Enabled Distribution Grid Asset Monitoring for Improve Protection and Sustainability
Cell polarity and morphogenesis
Cell polarity and morphogenesis
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Admissions Apply Now