This is a crop advisory app for farmers and gardeners. It can diagnose pest damage, plant disease and nutrient deficiencies that are affecting crops and can offer corresponding treatment measures.
The intention of the project is to familiarise the student with open source development in the field of Machine Learning, Deep Learning and Android Development. It will be done by making a real-life application that can be used by the consumers. Our aim is to make an end to end crop advisory app for farmers and gardeners. It can diagnose pest damage, plant disease and nutrient deficiencies that are affecting crops and can offer corresponding treatment measures.
This application takes an image of the leaf or crop as input and shows the results. It diagnoses the plant disease, pest damage, nutrient deficiencies and other factors affecting the growth of the crop and offers corresponding treatment measures to cure it. The result will be mainly presented in three categories, which are symptoms, treatments, and recommended products.
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Front end : HTML, CSS, Bootstrap, jQuery
Front end Repository -
Back end : NodeJS and Express
Backend Repository -
Data base : PlantVillage Dataset
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Data model : Tensorflow-Keras, Flask
Data-Modelling Repository
The model is trained on the PlantVillage dataset using transfer learning from a pre-trained model from tensorflow-keras library.
Crop Ai has been selected at GirlScript Summer of Code 2020!!!
Only GSSoC participants are allowed to contribute to this repository.
GirlScript Foundation, a non-profit registered by Government of India, has come up with a unique and India's first women oriented technical festival.
GirlScript started as a project has been selected by Mozilla under Open Leadership program out of 51 open-source projects worldwide. The main motto of GirlScript is not only to encourage gender equality in technical sector but also to help all the beginner in technology who are clueless at the starting phase of their education.
GirlScript Summer of Code is the 3 month long Open Source program during summers conducted by GirlScript Foundation, started in 2018, with an aim to help beginners get started with Open Source Development while encouraging diversity. Throughout the program, participants contribute to different projects under guidance of experienced mentors. Top participants get exciting goodies and opportunities.
GirlScript Summer of Code 2019 witnessed overwhelming participation and 2020 edition will carry the legacy forward while promising to be even more impactful and grand
Before contributing to this project do check CONTRIBUTING.md file and CODE_OF_CONDUCT.md file.
Feel free to ask your queries!! π
Now comes the most exciting part of the project. Understanding and making use of the actual Web Application. So let's get started. π₯³ π½
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Start off by visiting the hosted application using this CropAI Analyzer π»
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Open the application on your personal browser and you should have it ready to use.
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As every typical Web Application, we made sure you get the most exciting User Experience working on the application ......π§
SPOILER ALERT: Be ready to have your mind blown...ππ
The home provides you with a brief description about who we are, what we do, and why we made the application.
Click on the Analyze
button to be able to interact with the web application.
Just the page you need to use the most exciting stuff and analyze crop diseases.
Use the Upload Image
button to upload your desired image to analyze and it should have a preview ready for you to see, just as a confirmation.
Just in case you selected the incorrect image ( yes it happens with us as well π΄) you can always use the Change Image
button to change the image.
It should look something like this:
Hit the Submit
Button and relax and let our application to the rest of the work for you! π π
It's finally that time, as everything we did was to lead us to this moment. It should have the results right infront of you (I know it takes 30 seconds), but as you know,"GOOD THINGS IN LIFE TAKES TIME".
I'm pretty sure you want to go again on this since it's as exciting as it gets.
You may use the ANALYZE ANOTHER CROP
Crop at the bottom of the page.
This project is under the GNU General Public License v3.0.
Thanks to Netlify & Heroku for free hosting our application. β€οΈ
Special Thanks to many of our contributors for contributing to this project. β€οΈ