KrishiCare: Smart Application for Farmers

Krishi Care" is introduced as a novel web-based platform tailored for the early detection and diagnosis of plant leaf diseases, addressing a crucial need within the agricultural sector.Leveraging machine learning and image analysis, the application utilizes the Random Forest algorithm to accurately identify disease symptoms and patterns in plant leaves.In addition to disease diagnosis, the platform integrates two advanced modules: the Crop Suggestion Module and the Fertilizer Suggestion Module.The Crop Suggestion Module recommends the top 5 favorable crops based on critical factors like soil nutrients (N, P, K), soil type, moisture, and rainfall, enabling farmers to select the most suitable crops for their specific conditions.Meanwhile, the Fertilizer Suggestion Module analyzes the selected crop's nutrient requirements and offers tailored fertilizer recommendations, ensuring optimal growth and yield.These features enhance the platform's capability to support farmers with data-driven insights, promote sustainable farming practices, and reduce the environmental impact of excessive chemical use.The integration of these tools, along with disease diagnosis and nutrient deficiency detection, fosters proactive measures to improve overall plant health and food production security.This paper elaborates on the app's architecture, the dataset comprising 87,000 RGB images of healthy and diseased crops, and the outcomes achieved through model training and validation.The study underscores the potential of "Krishi Care" to be a transformative aid for farmers, offering a significant step forward in modern, technology-assisted agriculture.