Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review

5 March 2023

Papers citing "Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review"

3 / 3 papers shown

Title
Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs Teaya Yang Roman Ibrahimov Mark W. Mueller 25 0 0 26 Sep 2024
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery L. Osco Mauro dos Santos de Arruda D. Gonçalves Alexandre Dias J. Batistoti ... V. Liesenberg Jonathan Li Lingfei Ma J. M. Junior W. Gonçalves 40 98 0 31 Dec 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017