Leaf Disease Identification using Machine Learning

About 40 per cent of the world’s agricultural crops that are worth over $70 billion annually are lost to pests each year. Hence, we have come up with solution called Leaf Disease Identification.

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Coming from a developing nation where agriculture is the primary source of livelihood for about 58 per cent of India’s population, we have identified a key problem in Indian Agriculture as well as in Agriculture around the world.

The 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.

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!

If 30% of crops produced in India are being affected by dieseases, imagine the global scenario. We believe, our Leaf Disease Identification project can tackle various problems such us Global Hunger, Responsible Production, and more.

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.

The application is divided into different modules:

1. Home Screen:

The home screen contains simple instructions on how to use the application to identify leaf diseases. It also stores and displays past history of identified leaf diseases.

2. Navigation Screen:

The Navigation screen contains options for the farmer to translate the application into a language of their own choice. The farmer can capture an image of a plant or select an image from their storage to know the condition of their plant.

3. Language translation Screen:

The Language translation screen will allow the farmer to use the application in whatever language they are comfortable with.

4. Suggestions Screen:

The Suggestions screen is the main screen which returns the name of the disease affecting the crop. It will also return possible causes and solution for the particular disease.

Apart from being accurate in predicting leaf disease and their solutions, one more particular feature that makes our application stand out from other similar applications is that our application has a language translation module. It is important to remember that if a mobile application is available only in English, then a farmer might not be able to use the application easily.

That is why we have developed a language translation module that will translate our application into 15 widely spoken languages in India. We will soon expand it to 22 languages that are commonly spoken in India. This will make our application more accessible for the farmers.

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