Year: 2025
Type: article
Abstract: Monitoring crop health is vital for sustainable agriculture. Integrating computer vision and AI/ML enables real-time analysis, disease detection, and precision interventions. Techniques like SVM, random forest, and gradient boosting enhance decision-making and productivity. This research explores region-specific challenges and opportunities, supporting future-ready, profitable, and environmentally responsible farming solutions.
Author: Shivani Ojha
Institution: Madhav Institute of Technology & Science
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4409895303