Future of Farming: A Review of Artificial Intelligence Applications in Agricultural Production and Processing

The growing global population and decrease in the availability of agricultural labor demand a more efficient approach to global supply chains. Artificial Intelligence (AI) defines human intelligence in a manner that enables machines to replicate and perform tasks ranging from simple to highly complex. Recent advances in electronics offer vast opportunities for research, development, and innovation in agriculture. Consequently, there is continual scope to introduce novel technologies such as robotic platforms, sensors for detecting plant health, robotic harvesters, unmanned aerial vehicles, and advanced techniques for mapping soil nutrients, which can change the phase of agriculture. The papers therefore aim to review the overview and implications of artificial intelligence in agricultural production and processing. Artificial Intelligence (AI) has been increasingly used in agriculture recently. The agricultural sector encounters various challenges to enhance its productivity, such as inadequate soil management, pests, and diseases, the need for handling big data, low yields, and a gap in knowledge between farmers and technology. A special focus is laid on the strengths and limitations of the AI application and the way to utilize expert systems for higher productivity. The core benefits of AI in agriculture include its adaptability, efficiency, precision, and cost-effectiveness.