期刊论文

Kui Fang

英文

International Journal of Pattern Recognition and Artificial Intelligence

0218-0014

2021

35

05

2152004

10.1142/S0218001421520042

Our work has been fully supported by the Key Research and Development Program of Hunan Province, China (Grant No. 2017NK2381), the Double First-class Construction Project of Hunan Agricultural University, China (Grant No. SYL2019077), the National Natural Science Foundation of China (Grant No. 61972146) as well as the Natural Science Foundation of Hunan Province, China (Grant No. 2019JJ40133).

本校为第一机构

Watermelon is a crop susceptible to diseases. Rapid and effective detection of watermelon diseases is of great significance to ensure the yield of watermelon. Aiming at the interference of the environment and obstacles in the natural environment, resulting in low target detection accuracy and poor robustness, this paper takes watermelon leaves as the research object, considering anthracnose, leaf blight, leaf spot and normal leaves as examples. A disease recognition method based on deep learning is proposed. This paper has improved the pre-selected box setting formula of the SSD model and test...