Guest Editors
Dr. Anwar Ghani, International Islamic University, Pakistan
Dr. Shehzad Ashraf Chaudhry, Abu Dhabi University, Abu Dhabi
Dr. Rashid Ahmad, Jeju National University, Republic of Korea
Summary
The monsoon is the essential factor in agricultural production. The weather conditions determine the sustainability of monsoon-based farming during the harvesting period. The danger and vulnerabilities associated with harsh climatic conditions could be achieved by utilizing real-time meteorological information to help them make crop managerial decisions. While providing global food security, sustainable farming would foster ecological health and assist the sustainable management and conservation, groundwater and natural wealth. The shift to sustainable agricultural production on a world basis will necessitate significant gains in resource utilization, environmental safeguard, and system resilience. The approach underpinning this investigation has become outlined, supplemented by complementary work highlighting the development of sustainable farming, intelligent and sophisticated computing technologies, and instances of Internet of things (IoT) and Artificial Intelligence (AI) technology in present agricultural operations. AI has also long been used in intelligent systems because it is the scientific knowledge of establishing intelligent machines to help people in their daily lives. Object recognition, data analysis, learning techniques, image analysis, and artificial neural are just a few of the areas where AI can be applied.
The application of smart detectors and the intelligent farming technique improve agriculture by allowing farms to do less physically demanding work, resulting in higher productivity. Agriculture benefits from advanced devices whereas less water is used, less electricity is used, but more optimization is possible thanks to real-time climate and weather monitoring. Field control is performed with sensing in IoT supported smart agriculture, including dampness, temperatures, and soil humidity. This component is also in charge of controlling robot and drone actuators to aid in the movement of smart sensors in the agricultural environment. As a result, intelligent devices can roam among places to cover a broader region. AI-based technology has indeed begun to influence farming techniques. Automated tractors with a Global positioning system (GPS) and numerous sensing, such as digital photography, plant seeds, implement fertilizers, squirt pesticide residues, maintain weed growth, decide the necessity of irrigated agriculture, anticipate yield, and so on.
All agriculture factors, from growing crops to planting rotations to plowing, are affected by increasing temperatures and fluctuations in rainfall. Decentralized Intelligence inside the clouds and centralized Intelligence on farmland can aid in making the procedure for adjusting for changing circumstances better effective, enhancing the efficiency throughout all sectors of agriculture, and therefore making the entire environment better adaptable and prospective.
Keywords
Agriculture
Artificial Intelligence (AI)
Internet of Things (IoT)
Neural Networks
Machine learning
Edge computing
Computer Vision
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