Optimizing corn yield prediction: Integrating multi-temporal UAS data and machine learning
The United States plays a pivotal role in global corn production, necessitating accurate corn yield estimation at the field scale for effective and timely field management. This study investigates a novel approach for estimating corn yield in well-watered and water-stressed fields using multisource...
Saved in:
| Main Authors: | Huihui Zhang, Yuting Zhou, Shengfang Ma, Kevin Yemoto |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525005751 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models
by: Qing Zhang, et al.
Published: (2025-06-01) -
Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms
by: Wanicha Tepakhan, et al.
Published: (2025-05-01) -
Contribution of hydrogeological, well logs and machine learning in predicting the aquifer hydraulic properties in arid regions: a case study of Nubian Sandstone aquifer, Farafra Oasis, Egypt
by: Ahmed Nosair, et al.
Published: (2025-07-01) -
Machine learning algorithms to predict the tensile strength of novel composite materials
by: S. Sathees Kumar, et al.
Published: (2025-10-01) -
Optimizing Methanol Injection Quantity for Gas Hydrate Inhibition Using Machine Learning Models
by: Mohammed Hilal Mukhsaf, et al.
Published: (2025-03-01)