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

Modulation of fibrino(geno)lytic proteases from Russell’s viper venom using natural products and analogs
Modulation of fibrino(geno)lytic proteases from Russell’s viper venom using natural products and analogs
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Development of a method to Control Ultraviolet Radiation in welding Processes
Development of a method to Control Ultraviolet Radiation in welding Processes
Hybrid Analysis Framework for Detection of Application Backdoors
Hybrid Analysis Framework for Detection of Application Backdoors
Development of New Tools to Reverse Antibiotic Resistance in Pathogens Like Pseudomonas Aeruginosa
Development of New Tools to Reverse Antibiotic Resistance in Pathogens Like Pseudomonas Aeruginosa
Admissions Apply Now