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