Exploring the Use of High-Resolution Satellite Images to Estimate Corn Silage Yield Within Field
Corn (<i>Zea mays</i> L.) silage yield monitor data offer crucial insights into spatial and temporal yield variability. However, equipment’s sensor malfunctioning can result in data loss, and yield sensor systems are expensive to purchase and maintain. In this study, we analyzed corn sil...
Saved in:
| Main Authors: | Srinivasagan N. Subhashree, Manuel Marcaida, Shajahan Sunoj, Daniel R. Kindred, Laura J. Thompson, Quirine M. Ketterings |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/21/4081 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm
by: Elahe Akbari, et al.
Published: (2024-12-01) -
Integrating vermicompost, black soldier fly, and inorganic fertilizers enhances corn growth and yield
by: Riri Dayang Sari Risman, et al.
Published: (2025-01-01) -
Effects of harvesting corn varieties at varying maturities on silage quality and digestible dry matter yield of corn silages
by: Suphi Deniz, et al. -
Yield Impact of Data-Informed Surface Drainage: An On-Farm Case Study
by: Sagar Regmi, et al.
Published: (2024-12-01) -
Effect of Organic Fertilizers, Mycorrhiza and Tillage on Yield and Uptake of Nitrogen and Phosphorus in Seed, Leaves and Soil under Maize Cultivation
by: Alireza Feilinezhad, et al.
Published: (2024-04-01)