FRONTEND FOR CROP ANALYZER APP :fallen_leaf:

INTRODUCTION

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.

VISION

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.

WORKING

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.

Tech stack used

Front end : HTML, CSS, Bootstrap, jQuery\ Front end Repository
Back end : NodeJS and Express\ Backend Repository
Data base : PlantVillage Dataset
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.

Important Notice

Crop Ai has been selected at GirlScript Summer of Code 2020!!!

Only GSSoC participants are allowed to contribute to this repository.

About GirlScript

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.

About GSSoC

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.

👨 Project Admin

Sahil Sulekhiya

👬 Mentors

Rajat Sharma
Vaibhav Bagga
Tanishq Saluja
Gunesh Shanbhag

Feel free to ask your queries!! 🙌

Guide to using the Web Application

Now comes the most exciting part of the project. Understanding and making use of the actual Web Application. So let's get started. 🥳 👽

Start off by visiting the hosted application using this CropAI Analyzer 👻
Open the application on your personal browser and you should have it ready to use.
As every typical Web Application, we made sure you get the most exciting User Experience working on the application ......🧓

SPOILER ALERT: Be ready to have your mind blown...😜😏

HOME PAGE

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.

ANALYZE PAGE

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 😴) 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! 😇 😉

RESULT PAGE

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".