Advancements and Future Prospects of Artificial Intelligence for Sustainable Agriculture

Abstract

Artificial Intelligence (AI) in the sector of agriculture is still in the budding phase. Integrating AI in agriculture with multidisciplinary approach can provide enhanced results and revolutionize agriculture. AI is showing significant change in the agriculture by improving economic performance, precision farming, disease detection, crop monitoring, automated machines and management of livestock to improve the productivity and optimized use of resources. Integrating AI in the management of plant disease and soil health are helping farmers in reducing the cost on resources use and manpower. Machine learning algorithms are very helpful in analyzing the data for the use of fertilizers, herbicides, pesticides and water. It will further reduce agricultural waste and increases productivity of crop which align with sustainability and SDGs. Initial cost of implementation and data security are still the big challenges which need to be addressed for the robust implementation of AI in the field of Agriculture.