Improving Crop Yield by Preventing Crop Disease Spread, Recommending, and Automatic Spray of Fertilizers
摘要
India is a country with a rich tradition of agriculture, with approximately 70% of the population dependent on it. Farmers have a wide variety of crops to choose from and must carefully select suitable pesticides to protect their plants. Plant diseases can significantly reduce crop quality and quantity. These diseases are typically identified by visually observing patterns on the plants. Monitoring plant health and disease is critical for successful cultivation of crops. Historically, disease monitoring and analysis were performed manually by experts, which was both time-consuming and labor-intensive. However, image processing techniques can be used to detect plant diseases, with symptoms typically appearing on leaves, stems, and fruits. Using a plant leaf to identify disease symptoms, the appropriate medication can be administered to crops through an automated prototype. Proper detection and treatment of plant diseases are crucial for sustaining agriculture in India.