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

Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii Using Mass Spectrometry-a Proteomic Approach
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii Using Mass Spectrometry-a Proteomic Approach
Systems Biology of Neurological Disorders
Systems Biology of Neurological Disorders
ConnectOne
ConnectOne
Study and design of high efficiency and affordable solar cell
Study and design of high efficiency and affordable solar cell
Admissions Apply Now