Integrating Artificial Intelligence into Agricultural Systems: An Overview
Manvendra Singh *
Department of Biotechnology Engineering, Faculty of Engineering & Technology Khwaja Moinuddin Chishti Language University, Lucknow, Uttar Pradesh, India.
Manju Kumari Choudhary
Faculty of Agriculture Science, Maharishi Arvind University, Jaipur, Rajasthan, India.
Tasleem Jamal
Department of Computer Science Engineering, Faculty of Engineering & Technology Khwaja Moinuddin Chishti Language University, Lucknow, Uttar Pradesh, India.
Abhay Krishna
Department of Applied Sciences and Humanities, Faculty of Engineering & Technology Khwaja Moinuddin Chishti Language University, Lucknow, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
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.
Keywords: Agriculture, AI-artificial intelligence, crop monitoring, productivity, sustainability