Potential use of artificial intelligence in agricultural activity in semi-arid regions such as the Caatinga
DOI:
https://doi.org/10.20435/vol30iss76.4932Keywords:
agriculture 5.0, decision making, productive efficiency, smart agricultureAbstract
This manuscript aims to analyze the potential use of artificial intelligence in agricultural activity in the context of semi-arid regions such as the Caatinga. From the point of view of the methodological aspects, the research is classified as descriptive, since this investigation takes into account the study of the exploration of knowledge of the topic addressed. The results of the application of AI methods in agricultural activity include the early detection of pest and disease pathogens, crop scouting, monitoring of farm boundaries, analysis of irrigation structures and herd surveillance, with devices integrated into the agricultural production system. The results also show that agricultural practices have been modified with the development of intelligent technologies capable of boosting food production and sustainability initiatives.
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