While researching datasets to fit into machine learning algorithms, we uncovered a bigger problem: a lack of datasets that contain information about the agriculture industry, specifically, data related to occurrences of diseases and pests.
What it does
Empowers Farmers Collects agriculture data on plant diseases and pests Identify patterns and gain Insights using Data Analysis and AI Predictive Analysis and Forecasting based on Weather and Disease Data
What we created
A proposed model that collects and provides plant disease occurrence data to generate AI-based forecasting and predictive analytics that is distributed to its users
Challenges we ran into
Lack of datasets related to diseases occurrences in plants
Accomplishments that we're proud of
Instead of trying to work around a major gap in information, we created a self-sustaining, proposed community model.
What we learned
That there is an opportunity to build a community with open-source sharing of information.
What's next for AgriData
Augmented Reality blended with Artificial Intelligence.