期刊论文

Fan, C

英文

Sensors

1424-3210

2023

23

13

5903-

10.3390/s23135903

Conceptualization, J.H. and C.F.; Methodology, C.F.; Software, C.F.; Data curation, Z.W.; Writing—original draft, C.F.; Writing—review & editing, J.H.; Supervision, J.H., J.R. and S.W.; Project administration, Z.W. and J.R.; Funding acquisition, J.H. and S.W. All authors have read and agreed to the published version of the manuscript. This research received no external funding.

本校为第一且通讯机构

With the increasing popularity of online fruit sales, accurately predicting fruit yields has become crucial for optimizing logistics and storage strategies. However, existing manual vision-based systems and sensor methods have proven inadequate for solving the complex problem of fruit yield counting, as they struggle with issues such as crop overlap and variable lighting conditions. Recently CNN-based object detection models have emerged as a promising solution in the field of computer vision, but their effectiveness is limited in agricultural scenarios due to challenges such as occlusion and ...