Techniques For Making Agricultural Decisions Using Artificial Intelligence and Big Data Analytics

Abstract

Human needs are always difficult to balance with the output of agriculture. However, it is now even more difficult given the anticipated increase in the World's population, shifting dietary preferences, environmental concerns, economic effects, and sociopolitical difficulties. The fields of automation, agrochemicals, and plant and animal genetics have significantly shaped the field of agricultural science.

Technologies up to this point. Given the complexities of the future, new technologies, including paradigm shifts, must be utilized to advance agricultural research and enhance resource utilization efficiency. Current farming systems are designed to satisfy the needs of the coming ages. Big Data Analytics and Artificial Intelligence are two paradigms that have drawn the attention of thinking leaders. At the bottom of the Big Data ladder paradigm, agricultural research raises both concerns and offers several new opportunities. Precision agriculture and other agricultural issues are thought to be resolved by artificial intelligence (AI) tools. The data gathering and presentation techniques are state-of-the-art. Data collection and analytics sharing, as well as artificial intelligence plant breeding, were attempted. The agriculture area uses many applications for AI and CNNs many benefits for environmental protection.