Convolutional neural networks in computer vision for grain crop phenotyping: A review

YH Wang, WH Su - Agronomy, 2022 - mdpi.com
Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

Multi-omics techniques for soybean molecular breeding

P Cao, Y Zhao, F Wu, D Xin, C Liu, X Wu, J Lv… - International Journal of …, 2022 - mdpi.com
Soybean is a major crop that provides essential protein and oil for food and feed. Since its
origin in China over 5000 years ago, soybean has spread throughout the world, becoming …

Deep learning based soybean seed classification

Z Huang, R Wang, Y Cao, S Zheng, Y Teng… - … and Electronics in …, 2022 - Elsevier
Accurately sorting high-quality soybean seeds is a crucial and time-consuming task in
quality inspection and food safety. This paper designs a full pipeline to classify the soybean …

Scaling up high-throughput phenotyping for abiotic stress selection in the field

DT Smith, AB Potgieter, SC Chapman - Theoretical and Applied Genetics, 2021 - Springer
Key message High-throughput phenotyping (HTP) is in its infancy for deployment in large-
scale breeding programmes. With the ability to measure correlated traits associated with …

High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning

S Yang, L Zheng, P He, T Wu, S Sun, M Wang - Plant Methods, 2021 - Springer
Background Effective soybean seed phenotyping demands large-scale accurate quantities
of morphological parameters. The traditional manual acquisition of soybean seed …

Improved field-based soybean seed counting and localization with feature level considered

J Zhao, A Kaga, T Yamada, K Komatsu, K Hirata… - Plant …, 2023 - spj.science.org
Developing automated soybean seed counting tools will help automate yield prediction
before harvesting and improving selection efficiency in breeding programs. An integrated …

Deep learning-based approach using X-ray images for classifying Crambe abyssinica seed quality

AD de Medeiros, RC Bernardes, LJ da Silva… - Industrial Crops and …, 2021 - Elsevier
The application of imaging technologies combined with state-of-the-art artificial intelligence
techniques has provided important advances in the modern oilseed industry. Innovative …

Soybean yield estimation and its components: A linear regression approach

MCF Wei, JP Molin - Agriculture, 2020 - mdpi.com
Soybean yield estimation is either based on yield monitors or agro-meteorological and
satellite imagery data, but they present several limiting factors regarding on-farm decision …

High-throughput phenotyping in soybean

AK Singh, A Singh, S Sarkar… - High-throughput crop …, 2021 - Springer
Abstract Soybean [Glycine max (L.) Merr.] breeders and geneticists routinely evaluate
thousands of plots per year in order to characterize various accessions and breeding …

Review of machine learning and deep learning models in agriculture

F Bal, F Kayaalp - International Advanced Researches and …, 2021 - dergipark.org.tr
Machine learning (ML) refers to the processes that enable computers to think based on
various learning methods. It can be also called domain which is a subset of Artificial …