We use image classification and machine learning to recognize plant diseases before they can do more damage.
Plant disease is one of the most significant challenges to farmers around the world, and destroys 15% of all food grown globally. In addition, the process of identifying plant disease involves expensive and time-consuming laboratory testing, which is a luxury that most farmers don't have.
We want to change that, and help those who are growing the food that eat.
Using MediCrop, farmers can quickly detect plant disease in its earliest stages and treat it effectively, reducing crop waste and maximizing their profit potential. We aim to provide a cost and time efficient solution that can be easily used with any smartphone device.
We support farmers of all backgrounds and strive to make our app accurate, informative, and easy to use. Ultimately, we want to build the largest data-driven agricultural community.
"Certainly, it will be a valuable tool to have!"
Product manager, likes to read, play games, and go swimming
Physicist and ML engineer, enjoy a hike and a video game, started to love to golf
Lawyer, dog owner and part-time runner just trying to learn some data science along the way.
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Machine Learning practitioner, enjoys reading, hiking and good food.
We have built MediCrop to be the most accurate and reliable tool for detecting plant disease while providing a world-class user experience.
We use image classification and machine learning to scan the images provided, and we have trained our algorithm to recognize parts of the crop that may be diseased. Our model can provide 99% accuracy.
We support all regions and over 10 different languages.
While our product is in early access, it is free.
We consider user privacy as one of our highest priorities. We limit and anonymize the data that we receive from our farmers.
Do not hesitate to contact us directly or fill out this form. We will respond to you as soon as possible.
Email: medicrop@gmail.com
University of California, Berkeley
Berkeley, CA 94720
