Supporting code, predictions, and model weights for: An interdisciplinary Machine Learning-Based Approach for Predicting Corn Grain Yield Under Biofertilizer Applications

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Authors: Mohsen Jahan, Nassiri Mahallati Mehdi
Cited by: 0

Abstract

This deposit contains the aggregation script, prediction CSV files for 8 machine learning models, saved weights for DNN and Transformer, requirements, and a detailed README to reproduce the performance metrics and statistics reported in the submitted manuscript (Scientific Reports, ID: 802476a5-a484-4955-b500-8e87d1bed139). The raw dataset is available upon request from the corresponding author. Access right: Open Access License: MIT License Keywords: corn yield prediction, machine learning, ANFIS, Transformer, DNN, biofertilizer, regression, SHAP

Fields of Study & Subjects

Smart Agriculture and AI Agricultural Science and Fertilization Crop Yield and Soil Fertility

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026