Establishing a Low-Temperature Maize Kernel Moisture Content Prediction Model Based on Dielectric Constant Measurement
Detecting the moisture content of stored maize kernels is critical for minimizing post-harvest losses. To measure the moisture content of maize kernels under low-temperature conditions, a small-strip transmission line device was employed to construct a non-destructive measurement platform. The diele...
Saved in:
| Main Authors: | Shuhao Wang, Songling Du, Yuanyuan Yin, Chao Song, Chuang Liu, Rui Qian, Liqing Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/5/507 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genomic Prediction of Kernel Water Content in a Hybrid Population for Mechanized Harvesting in Maize in Northern China
by: Ping Luo, et al.
Published: (2024-11-01) -
Identification of QTLs associated with opaque2 modifiers influencing kernel opacity, kernel hardness, and tryptophan content in quality protein maize
by: Diksha Jasrotia, et al.
Published: (2025-05-01) -
Insight into the composition and differentiation of endophytic microbial communities in kernels via 368 maize transcriptomes
by: Fang Tao, et al.
Published: (2025-05-01) -
Fermented high moisture maize grain as supplement to alfalfa haylage is superior over unfermented dry maize grain in diet dry matter digestibility
by: Marina Vranić, et al.
Published: (2011-09-01) -
Study on the Tissue Heterogeneity and Micromechanical Properties of Maize Kernel
by: Zhou Shi, et al.
Published: (2025-03-01)