Abstract
Farming is one of the major sectors that influence a country’s economic growth. In countries like India, majority of the population is depending on agriculture for their livelihood. But in recent times, agriculture in India is enduring a structural change leading to a disastrous situation. The main purpose of this project is building a website to assist people who wants to grow crops at their home or interested in terrace farming and assist the farmers to maximize their yield and to sell the harvested crop online by themselves without involving any middleman in between them so that the farmer will enjoy maximum possible profits solely by himself. Our website reduces time and effort of users by providing various applications such as crop recommendation which works by analyzing various attributes such as location, amount of rainfall in the region, and soil pH values; fertilizer recommendation which recommends the necessary organic measures to be taken based on the type of crop and soil NPK values; and crop disease prediction which works in order to predict the disease of a particular crop by uploading the crop image and suggests the organic treatment for that particular crop accordingly. Farmer can choose the type of treatment for their crops.
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NagaMallik Raj, S. et al. (2023). Prediction and Identification of Diseases to the Crops Using Machine Learning. In: Ogudo, K.A., Saha, S.K., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 558. Springer, Singapore. https://doi.org/10.1007/978-981-19-6880-8_14
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