Integrating Artificial Intelligence into Agricultural Systems: An Overview
The exponential rise in the global population necessitates a substantial increase in agricultural production to meet future feed requirements. Artificial Intelligence (AI) is revolutionizing the agricultural sector by boosting efficiency, productivity and sustainability. AI employs advanced algorithms and data analytics to optimize various processes in agriculture, from sowing a plant to harvesting and beyond. AI-powered predictive modelling can also forecast weather, optimum sowing time, crop protection and productionIt's also assisting in animal health monitoring, breeding patterns prediction, optimize feeding schedule livestock management and marketing like an entrepreneur. This ensures enhance the operational efficiency with improved marketing accessibility in agriculture. This review for researchers, with ongoing technological advancements, integrating AI into agriculture will play a pivotal role in meeting the global food demand and ensuring food security for the growing population. This review describes the fascinating world of AI, exploring its applications, challenges, and future prospects.
Authors
- Tasleem Jamal (ORCID: https://orcid.org/0009-0000-2977-9925)
- Abhay Krishna
- Manvendra Singh (ORCID: https://orcid.org/0009-0004-6600-5792)
- Sarita Kumari (ORCID: https://orcid.org/0000-0002-3836-3734)
Institutions
- Government of Uttar Pradesh (IN)
- Biotech Park (IN)
- University of Rajasthan (IN)
Publication Details
- Journal
- Asian Journal of Advances in Agricultural Research
- Published
- 2025-09-25
- DOI
- https://doi.org/10.9734/ajaar/2025/v25i9673
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00