[HTML][HTML] Dissecting Breeders' Sense via Explainable Machine Learning Approach: Application to Fruit Peelability and Hardness in Citrus

MF Minamikawa, K Nonaka, H Hamada… - Frontiers in Plant …, 2022 - frontiersin.org
“Genomics-assisted breeding”, which utilizes genomics-based methods, eg, genome-wide
association study (GWAS) and genomic selection (GS), has been attracting attention …

[HTML][HTML] Quantitative extraction and evaluation of tomato fruit phenotypes based on image recognition

Y Zhu, Q Gu, Y Zhao, H Wan, R Wang… - Frontiers in Plant …, 2022 - frontiersin.org
Tomato fruit phenotypes are important agronomic traits in tomato breeding as a reference
index. The traditional measurement methods based on manual observation, however, limit …

[HTML][HTML] Genome-wide association study and genomic prediction in citrus: potential of genomics-assisted breeding for fruit quality traits

MF Minamikawa, K Nonaka, E Kaminuma… - Scientific reports, 2017 - nature.com
Novel genomics-based approaches such as genome-wide association studies (GWAS) and
genomic selection (GS) are expected to be useful in fruit tree breeding, which requires much …

[HTML][HTML] Deep learning-based intelligent apple variety classification system and model interpretability analysis

F Yu, T Lu, C Xue - Foods, 2023 - mdpi.com
In this study, series networks (AlexNet and VGG-19) and directed acyclic graph (DAG)
networks (ResNet-18, ResNet-50, and ResNet-101) with transfer learning were employed to …

Unveiling Predictive Factors in Apple Quality: Leveraging LIME, SHAP, and the Synergy of Machine Learning Models and Artificial Neural Networks

R Chowdhury, R Das, FBF Ananna… - … and Information & …, 2024 - ieeexplore.ieee.org
In the realm of fruit quality assessment, the demand for accurate identification methods has
grown significantly. Traditional measures, such as physical and chemical analyses, prove …

Application of deep learning diagnosis for multiple traits sorting in peach fruit

K Masuda, R Uchida, N Fujita, Y Miyamoto… - Postharvest Biology and …, 2023 - Elsevier
Abstracts Fruit quality is determined by multiple complex traits, which are difficult to diagnose
by simple criteria and often require expert skills with a long experience. Nevertheless …

[HTML][HTML] Detection of breeding-relevant fruit cracking and fruit firmness quantitative trait loci in sweet cherry via pedigree-based and genome-wide association …

WW Crump, C Peace, Z Zhang, P McCord - Frontiers in Plant Science, 2022 - frontiersin.org
Breeding for decreased fruit cracking incidence and increased fruit firmness in sweet cherry
creates an attractive alternative to variable results from cultural management practices. DNA …

Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale

D Abekasis, A Sadka, L Rokach, S Shiff, M Morozov… - Precision …, 2024 - Springer
Fruit cracking is a preharvest physiological rind disorder in citrus, sometimes causing
considerable yield loss. In recent years, reports from Israel and other countries suggest that …

[PDF][PDF] A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM.

HT Vo, NN Thien, KC Mui - International Journal of …, 2023 - pdfs.semanticscholar.org
Dragon fruit, known for its rich antioxidant content and low-calorie attributes, has garnered
significant attention as a health-promoting fruit. Its economic value has also surged due to …

Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model

C Wang, Q Han, C Li, T Zou, X Zou - Frontiers in Plant Science, 2024 - frontiersin.org
Citrus fruits are extensively cultivated fruits with high nutritional value. The identification of
distinct ripeness stages in citrus fruits plays a crucial role in guiding the planning of …