The Future of Farming: How AI Enhances Crop Yield and Sustainability
| dc.contributor.author | Muchapothula Shiva Prasad, Mamta J. Patange, Dr. Shubhangi J. Dhage, Shabbeer Ahmad, Aman Kumar | |
| dc.date.accessioned | 2025-11-18T06:23:55Z | |
| dc.date.issued | 2025 | |
| dc.description | Agri Magazine (International E-Magazine for Agricultural Articles), Volume 02, Issue 07 (July 2025) Agri Magazine Editorial Board | |
| dc.description.abstract | This article explores how Artificial Intelligence (AI) is transforming agriculture by improving crop yields, optimizing resource use, and enhancing sustainability. It highlights AI applications such as robotic automation, drones, machine learning, precision farming, predictive analytics, and genetic innovations. The article further discusses real-world success stories in AI adoption, identifies major challenges including technological gaps, social barriers, high costs, and data privacy concerns, and proposes solutions through policy reforms, training, and infrastructure development. The future of AI-powered farming includes smart seeds, advanced robots, blockchain-based supply chains, and climate-resilient decision systems. | |
| dc.identifier.issn | 3048-8656 | |
| dc.identifier.uri | http://136.232.12.194:4000/handle/123456789/1567 | |
| dc.language.iso | en_US | |
| dc.publisher | Agri Magazine (Online International E-Magazine) | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Precision Farming | |
| dc.subject | Machine Learning | |
| dc.subject | Farming Robots | |
| dc.subject | Smart Agriculture | |
| dc.subject | Crop Yield | |
| dc.subject | Sustainability | |
| dc.subject | Climate Resilience | |
| dc.subject | Resource Optimization | |
| dc.title | The Future of Farming: How AI Enhances Crop Yield and Sustainability | |
| dc.type | Book chapter |