An IoT & AI-assisted Framework for Agriculture Automation

Virtually every business in the world, especially agriculture, experienced tsunamis because of the quick and huge expansion of Artificial Intelligence (AI) and the Internet of Things (IoT). The current agricultural practices are being drastically altered, which is opening up new prospects. By 2050, there will be a huge demand for agricultural goods due to the 30% rise in the global population. Farmers have recently demonstrated a strong interest in smart agricultural approaches. Several things, including the growing availability of inexpensive, low-powered wireless Internet of Things (IoT) sensors that may be used to remotely monitor and report crop, weather, and field conditions, cause this. This enables effective resource management, such as reducing the number of hazardous pesticides used and the amount of water needed for irrigation. In addition, farmers may be able to use autonomous farming equipment and make better future forecasts based on current and previous conditions, thanks to the recent development in artificial intelligence, which would help farmers to reduce crop illnesses and insect infestation. These two enabling technologies have transformed traditional agricultural methods when used together. This paper proposes an IoT and AI-assisted framework to resolve the food and agricultural problems for smart and sustainable agriculture. Further, there is a comparison of the proposed method with other existing approaches for Agriculture Automation Systems that shows the supremacy of the proposed framework.