Easy Agriculture: Crops’ disease detection, pesticide, fertilizer and crop recommendations
نویسندگان
چکیده
Around the world due to pests and pathogens almost 50% of agricultural produce is lost which so alarming given fact that many people die everyday starvation in poor nations. Crop diseases disturb normal growth physiological processes. It estimated every year 20-40% crop loss reported and, some cases, whole production gets destroyed. So, higher yield for sustainable agriculture it important identify any from early stage itself. Technology can do a great help this cause detect plant disease by using various AI techniques. also recommend proper pesticides persisting disease. The model proposed based upon 9 layer resnet deep learning algorithm takes present time images crops detects & recommends suitable pesticide. Plant Village Dataset taken Kaggle comprising 87000 (38 Classes,13 Crops) used. A custom dataset built consisting disease-description-measures be taken-pesticide or fertilizer end system developed has two other models integrated are used recommendations. They Random Forest Classifier parameter conditional statements function.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2023
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202339101055