Advanced Disease Detection Techniques in Plants Using Leaf Disease Detection and Soil’s Nutrient Deficiency
Keywords:Machine Learning, Fertilizer recommendation, Random Forest, Convolutional Neural Networks, SVM, HED
Plant disease prediction and detection has long been a major issue in the agricultural field. People with limited financial resources cannot afford to have their crops and fields inspected on a regular basis. As a result, a technique that can meet the needs of poor farmers will be a game changer. The proposed model in this paper has developed a system that can determine whether or not a plant is healthy. Furthermore, if the plan is unhealthy, the reason of the disease is determined by collecting two inputs from the plot where the diseased plant is present: plant leaves and soil samples. The model is taught to determine whether the disease is bacterial, fungal, or viral.
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Copyright (c) 2022 Divya Kumari, H. J. Bharath, Jaisal Srivastava, J. Y. Manvith, Anusha Preetham
This work is licensed under a Creative Commons Attribution 4.0 International License.