Advanced Disease Detection Techniques in Plants Using Leaf Disease Detection and Soil’s Nutrient Deficiency

Abstract

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.