| Detection and counting of flowers on apple trees for better chemical thinning decisions G Farjon, O Krikeb, AB Hillel, V Alchanatis Precision Agriculture 21 (3), 503-521, 2020 | 118 | 2020 |
| Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human O Wosner, G Farjon, A Bar-Hillel Computers and Electronics in Agriculture 189, 106404, 2021 | 60 | 2021 |
| Leaf counting: Multiple scale regression and detection using deep CNNs. Y Itzhaky, G Farjon, F Khoroshevsky, A Shpigler, A Bar-Hillel BMVC, 328, 2018 | 53 | 2018 |
| Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture--A Review G Farjon, L Huijun, Y Edan arXiv preprint arXiv:2303.02632, 2023 | 34 | 2023 |
| Leaf Counting: Fusing Network Components for Improved Accuracy G Farjon, Y Itzhaky, F Khoroshevsky, A Bar-Hillel Frontiers in Plant Science 12, 1063, 2021 | 31 | 2021 |
| Detection in Agricultural Contexts: Are We Close to Human Level? O Wosner, G Farjon, F Khoroshevsky, L Karol, O Markovich, DA Koster, ... European Conference on Computer Vision, 375-390, 2020 | 3 | 2020 |
| Sparse Hierarchical Table Ensemble–A Deep Learning Alternative for Tabular Data G Farjon, A Bar-Hillel IEEE Access 10, 75376-75384, 2022 | | 2022 |
| Sparse Hierarchical Table Ensemble G Farjon, AB HIllel | | |
| Counting in agriculture using deep learning algorithms G Farjon, A Bar-Hillel, Y Edan A New Paradigm for Sustainable Development in Agriculture: Mathematics & AI …, 0 | | |
| Computer Vision System for Counting Crustacean Larvae C Rothschild, E Aflalo, I Kedem, G Farjon, Y Yitzhaky, A Sagi, Y Edan Available at SSRN 4348572, 0 | | |
