This repository provides a comprehensive machine learning pipeline for water status detection in orchards, leveraging classification and regression algorithms to predict Stem Water Potential. The project consists of three main modules: data mining, data cleaning, and data analysis. These modules are aimed to analyze weather and drone imaging metadata to provide data-driven models for precise water status detection in pistachio orchards.
To get started with this project, clone the repository and install the required dependencies for ML analysis.
pip install numpy pandas scikit-learn matplotlib seaborn scipyThe manuscript is currently under review. The preprint is available through:
Mortazavi, M., Ehsani, R., Carpin, S., & Toudeshki, A. (2023). Predicting Tree Water Status in Pistachio and Almond Orchards Using Supervised Machine Learning. Available at SSRN 4511076.
See LICENSE for details.