PlantMed - An Automated App for Monitoring the Tasks of Farmers

Farmers and terrace gardeners use PlantMed, a sophisticated mobile application, to track ailments and monitor plant health through the use of machine learning and computer vision. The API focuses on various plants, and users can upload pictures of their plants to diagnose diseases quickly using K-means and CNN network (KNN) algorithms. The application utilizes an open API (Application Programming Interface) for well-being and a linear regression model to forecast production figures for various climatic conditions, including rainfall, temperature, humidity, and wind, while also integrating current weather information. The application offers suggestions for managing agro-health care, such as using pesticides, linking GP (Gram Panchayat) outage measures with government schemes, and registering the soil condition in their vicinity using the Google Maps API. Eva, the integrated multilingual Chabot, encourages users across languages by teaching them how to grow plants, prevent them from diseases, and use the app. Additionally, the application provides educational content in the form of articles, videos, and news about current agricultural trends. Some upcoming enhancements include the incorporation of market demand, the implementation of growing crops where there is a demand for them, and the ability to search nearby locations for agricultural equipment and supplies, thereby transforming plant medicine into a remedy for enhancing crop productivity.