AI Crop Analytics Tool

A machine learning and data analytics tool built on documented image patterns and features of crop diseases to diagnose pest-prone and unhealthy crops with just a photo. The AI tool counts with a user-friendly interface that allows users to take pictures of their crops, even without an internet connection. With a single picture, the machine learning algorithmic model, trained with thousands of images of both healthy and infected crops, compares the input loaded by the user with the database, thus matching both data sources to detect diseases at early stages.

Once the tool identifies potential plant diseases, it provides extensive audio and text recommendations in multiple local dialects to guide farmers on the best practices to protect and save the yields. Current developments have an average accuracy of exact results of 93.3%, thus providing farmers with fine details to predict whether a crop is healthy or affected before the human eye notices it. Also, the tool comes together with 3D scientific animations that orientate farmers to tackle fest infestations and measures to sustainable practices.