Abstract
Agricultural sector is among the major sources of food for humans. About 60% of the country is involved in agriculture and other agricultural practices in a certain way. Being a major occupation of most Indians, significant developments in the field are strongly required to ensure higher yields and less crop damage. With the introduction of technology such as artificial intelligence and the Internet of Things, there have been major advances in the estimation and accuracy of tasks. Using AI and IoT, we can build advanced monitoring systems that can ensure crop health and prevent damage. This can also be implemented in the field of agriculture. The key steps that we addressed in this paper are image pre-processing, extraction of features, classification, and analysis of the results provided by the technique.
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