Year: 2024
Type: article
Abstract: : Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation is an innovative platform that transforms modern agriculture using advanced data analytics and artificial intelligence. By integrating historical crop data, satellite imagery, soil analysis, and real-time environmental inputs, the system provides precise yield predictions. Machine learning algorithms are employed to recommend the most suitable crops based on specific geographic and soil conditions, empowering farmers to maximize productivity and profitability. Agrivision fosters precision farming by offering insights into resourceefficient practices and market trends, promoting sustainable decision-making. Accessible via mobile and web platforms, the solution is inclusive, scalable, and designed to meet the needs of farmers. It reduces agricultural risks, enhances resource management, and supports sustainability, fostering economic resilience in the agricultural sector.
Authors: Ayesha Siddiqa, Shreya G, Shambhavi S V, Umme Hani, Varshaa S K
Institution: Jawaharlal Nehru New College of Engineering
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4405665279