Machine learning (ML) is rapidly transforming agriculture by introducing data-driven insights and automation into farming practices, enabling precision, efficiency, and sustainability. This paper explores the foundational concepts of ML, distinguishing it from conventional progra...
Open access
Research Article10.9734/jeai/2025/v47i13201
Environmental sustainability is a pressing global challenge that demands innovative solutions to balance ecological preservation with human development. In the digital age, smart technologies have emerged as transformative tools for addressing these challenges by optimizing resou...
Open access
Research Article10.9734/ijecc/2025/v15i14669
Agrarian distress is the economic, political and social challenges faced by the farmers and rural communities due to factors such as low crop yields, fluctuating prices of agricultural produce, high input costs, indebtedness, and lack of access to credit, markets, and infrastruct...
Open access
Research Article10.9734/ajaees/2024/v42i92540