Predicting Corn, Wheat and Soybean Yield
- 0 Collaborators
Precipitation and temperature are the two main characteristics of weather and climate, they also play an important role on the outcome of crop yield. In this study the goal is try to predict crop yield for corn, wheat and soybeans using meteorological data using machine learning. ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence
Intel Technologies
DevCloud
Overview / Usage
Precipitation and temperature are the two main characteristics of weather and climate, they also play an important role on the outcome of crop yield. In this study the goal is try to predict crop yield for corn, wheat and soybeans using meteorological data using machine learning. Feature analyses will also be conducted to understand the importance each meteorological parameter have on the outcome of the model. It will be interesting to verify if the feature importance will be the same for each crop or not. Once we can quantify the importance of weather parameters listed below for crop yield we can analyze the impact of climate change on food security.
Methodology / Approach
I will use:
Exploratory Data Analyses (EDA)
Feature Engineering
Machine Learning
Technologies Used
I will use oneAPI, oneAPI DL, oneAPI AI Analytics and DevCloud and Python.
Repository
https://github.com/mmtokay/CropYield