Abstract
In the proposed system, we intend to use machine learning and deep learning algorithms to predict which crops can be grown on a particular field given its soil type, environmental conditions like rainfall, humidity, temperature and so on. We also wish to design a disease prediction model as an additional feature which helps the farmers to identify if their crops are suffering from any diseases. This will help the farmers to ensure that their crops stay healthy throughout their period of growth. Also if the crops are suffering from a disease, we would be able to detect that and suggest what must be done to cure the disease and avoid it in future. This would require data analytics, data warehousing techniques to be employed to prepare a good and appropriate data set to train the selected model. For interacting with the farmers, we would develop a Web portal so that the farmers can access our system and use it for himself/herself.
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Bhatia, G., Joshi, N., Iyengar, S., Rajpal, S., Mahadevan, K. (2021). Crop Prediction Based on Environmental Conditions and Disease Prediction. In: Senjyu, T., Mahalle, P.N., Perumal, T., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems. ICTIS 2020. Smart Innovation, Systems and Technologies, vol 195. Springer, Singapore. https://doi.org/10.1007/978-981-15-7078-0_31
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