Advancing Agricultural Productivity and Sustainability through Artificial Intelligence: A Comprehensive Review

Khushboo Choubey; Khushboo Choubey; Mallika Dwivedi

doi:10.15680/IJIRCCE.2023.1103116

Khushboo Choubey Department of Computer Science and Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, Madhya Pradesh, India
Khushboo Choubey Department of Computer Science and Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, Madhya Pradesh, India
Mallika Dwivedi Department of Computer Science and Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, Madhya Pradesh, India

DOI: https://doi.org/10.15680/IJIRCCE.2023.1103116

Keywords: Artificial Intelligence (AI),Agricultural Productivity,Sustainability in Agriculture, PrecisionFarming, CropMonitoring, PredictiveAnalytics, Resource Management.

Abstract

The integration of Artificial Intelligence (AI) into agriculture has the potential to revolutionize traditional farming practices by enhancing productivity, efficiency, and sustainability. This study investigates the application of AI technologies in agriculture, focusing on their impact on resource management, crop yield optimization, and environmental sustainability. The proposed method demonstrates notable performance with an accuracy of 92.6%, Mean Absolute Error (MAE) of 0.440, and Root Mean Square Error (RMSE) of 0.200. These metrics highlight the method’s effectiveness in delivering precise and reliable predictions. By examining current trends, case studies, and emerging technologies, this paper provides a comprehensive analysis of AI’s role in modernizing agriculture and its capacity to drive future advancements in the sector.