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

Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization
Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization
Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Development of Source Code Methodologies – Plagiarism Detection Engine
Development of Source Code Methodologies – Plagiarism Detection Engine
IoT-based System for Real-time Infrastructural Resilience Monitoring
IoT-based System for Real-time Infrastructural Resilience Monitoring
Biology of Cancer Stem Cells – 2
Biology of Cancer Stem Cells – 2
Admissions Apply Now