Project Plant AI

Just the other day I was reading some articles and I saw an online news article on a recent suicide case of Indian farmers with the headline “Farmer couple commits suicide after killing minor”, this made my heart skip a beat. And I thought to address the problems of yield losses due to diseases with what I love, tech. Many Indian farmers or crop growers (since most of our research was based out of India) are not yet aware of the right kind of fertilizers, manure, or biocides, and also modern farming practices​ and crop diseases over the last year have led up to 67% yield losses among Indian farmers which is humongous portion! Plant AI is a web application that helps to easily diagnose diseases in plants from plant images using Machine Learning available on the web. We provide an interface on the website where you can upload images of your plant leaves. The idea this project proposes to use smartphones which most farmers already have access to, to diagnose diseases in their crops through plant images early and in an accurate manner​. The app would also provide the farmers with easy and actionable ways to solve the disease which would be quite helpful for most farmers since most plant diseases occur due to farmers being aware of the right techniques​. This project uses TensorFlow and Azure ML to train the ML models. Grappler (distributed with TensorFlow) and AzureML to optimize the model to run on-device on mobile phones. React and TensorFlow.js to build out the website and perform on-device inferences and Azure Static Web Apps and Azure Blob Storage in some aspects to host the web app. Finally, we also provide an API since though on-device inferences are the best option in most such cases, having the ML offloaded to the server-side could be quite useful in some scenarios and serve our API with Azure Kubernetes Services. Rishit Dagli TED-X, Ted-Ed speaker I am a High School student at Narayana School from India and am a TEDx and 2xTED-Ed speaker. To share my knowledge about Machine Learning and Android with all, I mentor at TensorFlow User Group Mumbai, organize Kotlin Mumbai, and am an international speaker. I am also quite interested in Machine learning Research and have published quite a few papers on ML and Maths. I further also love hackathons and competitions and have also represented my country and won quite a few on the international stage too. I also moderate the AI/ ML discussions on Google's CLP. I also love open-source and you can find me contributing to some projects I love and creating open-source content in terms of blogs and projects. Rishabh Singh Frontend & UI/UX Designer Rishabh is an award-winning Graphics & UI/UX designer based in Mumbai, India. Over the years he helped 100s of students to learn more about UI/UX and create impactful designs for their projects. He is also a frontend developer & community lead. Rucha Yagnik Full-stack Developer Rucha is a Computer Science student. Her major interest lies in Design and Development, Machine Learning, Healthcare Engineering and Education. She empowers both local and global student community with her knowledge and passion for Technology, as a Microsoft Learn Student Ambassador and an #IamRemarkable Facilitator. She aims at making technological knowledge accessible to every person by going through the iterative process of giving and gaining knowledge.