Optimizing Crop Yield Prediction: Data-Driven Analysis and Machine Learning Modeling Using USDA Datasets
Open Access
- 20 April 2024
- journal article
- research article
- Published by Enviro Research Publishers in Current Agriculture Research Journal
- Vol. 12 (1) , 272-285
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- High Performance EDA and LDA Analysis: An Application for Wheat Yield Estimation2023
- Current understanding, challenges and perspective on portable systems applied to plant monitoring and precision agricultureBiosensors and Bioelectronics, 2022
- Big data in agriculture: Between opportunity and solutionAgricultural Systems, 2022
- An Ensemble Algorithm for Crop Yield Prediction2021
- Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks modelsAgricultural Water Management, 2021
- Crop yield prediction using machine learning: A systematic literature reviewComputers and Electronics in Agriculture, 2020
- Supervised Machine learning Approach for Crop Yield Prediction in Agriculture Sector2020
- Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A ReviewSensors, 2020