FossHack-Farmx
Theme: Agriculture
Introduction:
Agriculture is the primary source of livelihood for about 58 per cent of India’s population. Gross Value Added by agriculture, forestry and fishing is estimated at Rs 18.55 lakh crore (US$ 265.51 billion) in FY19(PE).
Apart from being an industry, agriculture is the main source of income for about 70 million farmers in India. Undoubtedly, Agriculture is crucial to Indian economy. What's more important, is that Indian farmers are feeding 1.4 billion people, which is one-fifth of the total world population.
The Problem:
However, Indian agriculture is threatened by pests that can ruin their crops and their livelihoods.
According to a study by the Associated Chambers of Commerce and Industry of India, annual crop losses due to pests and diseases amount to Rs.50,000 crore ($500 billion), which is significant in a country where at least 200 million Indians go to bed hungry every night.
With so many tonnes of crops being destroyed every year due to pests and diseases, it is important to find a solution and implement it to avoid any more waste of crops due to diseases and pest infections. Which is why, we have come up with our solution which aims to reduce crop destruction by pests. In this way, we can feed atleast a portiion of the 200 millions who go to bed every night!
Our Solution:
We have developed a mobile application using Flutter that uses Machine Learning to identify more than 35 common diseases in crops.
The Machine Learning model is trained with over 6.5 Lakh images and has an accuracy of 97.53%
The mobile application is very easy to use. The farmer will first capture an image of an infected leaf or can also select an image from their mobile storage. Next, the leaf image will be analyzed by our Machine learning model, which will predict the leaf disease instantly. The application will predict the disease name, and will also provide the causes and possible solutions to counter the disease.
We are also integrating an intelligent chatbot that can recommend best crops to farmers based on their geographic location, climate, rainfall, and other important factors.
The Chatbot is also capable of answering important questions and provide detailed answers in whichever language the farmer is comfortable in.
Tech Stack:
Mobile app - Flutter (Open Source)
Machine Learning Model - TfLite (Open Source)
State management - Provider (Open Source)
DataBase: Hive (Open Source)
Language translation: Libre Translate (Open Source)
Issues, PRs and Discussions
