A Python library for crop modeling using DSSAT
SDI-12 library for ESP32 microcontrollers.
"Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23
This repository constitutes a comprehensive collection of resources that were utilized, developed, and refined throughout the research process for the paper entitled "Coffee Plant Leaf Disease Detection for Digital Agriculture", providing a detailed insight into the research methodology and the outcomes achieved.
Research project carried out in collaboration with the University of Tuscia
Overview of ML research project @ NMSP (Cornell)
Public website for the Digital Agriculture Hackathon hosted by Purdue University, University of Kentucky, and Tuskeegee University
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