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Crop Yield Prediction Using Machine Learning by akinsola.jet is a document available to read on EtoBox.
What is Crop Yield Prediction Using Machine Learning about?
The study presents a crop yield prediction system using supervised machine learning techniques, focusing on maize in Nigeria. It evaluates five regression algorithms, with stochastic gradient descent (SGD) achieving the best performance, indicated by a low error rate and an R2_score of 0.98505036. The system aims to assist farmers and industries in making informed decisions regarding crop production amidst climate change challenges.
- Author
- akinsola.jet
- Language
- EN