Soybean Yield Preharvest Prediction Based on Bean Pods and Leaves Image Recognition Using Deep Learning Neural Network Combined With GRNN
Soybean yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. The earlier the prediction during the growing season the better. Accurate soybean yield prediction is important for germplasm innovation and planting environment factor impro...
Main Authors: | Wei Lu, Rongting Du, Pengshuai Niu, Guangnan Xing, Hui Luo, Yiming Deng, Lei Shu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-01-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2021.791256/full |
Similar Items
-
Diversity Characterization of Soybean Germplasm Seeds Using Image Analysis
by: Seong-Hoon Kim, et al.
Published: (2022-04-01) -
Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN
by: Wei He, et al.
Published: (2023-07-01) -
Genetic and Phenotypic Characterization of Soybean Landraces Collected from the Zhejiang Province in China
by: Xiaomin Yu, et al.
Published: (2024-01-01) -
Recognition of soybean pods and yield prediction based on improved deep learning model
by: Haotian He, et al.
Published: (2023-01-01) -
High-Throughput Phenotypic Characterization and Diversity Analysis of Soybean Roots (<i>Glycine max</i> L.)
by: Seong-Hoon Kim, et al.
Published: (2022-08-01)