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

Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Pharmacological Potential of Endophytes from Mangrove Plants in South West Coast of Kerala
Pharmacological Potential of Endophytes from Mangrove Plants in South West Coast of Kerala
Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory
Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory
Fusion Transcripts in Cancer and the Potential to Inhibit by RNA Interference
Fusion Transcripts in Cancer and the Potential to Inhibit by RNA Interference
Admissions Apply Now