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

Design of an Integrated System for Monitoring Weather and Traffic Based on Internet of Things
Design of an Integrated System for Monitoring Weather and Traffic Based on Internet of Things
Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Finite Element Methods in Haemodynamic
Finite Element Methods in Haemodynamic
Ayurveda Clinical e-Learning (AyurCeL) Portal – Clinical Case Repository of Ayurveda Physicians
Ayurveda Clinical e-Learning (AyurCeL) Portal – Clinical Case Repository of Ayurveda Physicians
Admissions Apply Now