A control system for fine farming of apple trees

Xuehua Liu; Haojie Liu; Siyuan Yu; Zhenpeng Zhong

doi:10.1117/12.3001228

9 August 2023 A control system for fine farming of apple trees

Xuehua Liu, Haojie Liu, Siyuan Yu, Zhenpeng Zhong

Author Affiliations +

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 127820W (2023) https://doi.org/10.1117/12.3001228
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Apples are susceptible to diseases during growth that can reduce yields and cause economic losses. The common types of diseases of apple leaves are mainly spotted leaf drop, brown spot, grey spot, tobacco leaf blossom and rust. In this paper, a control system for the fine breeding of apple trees is designed to address the problem of the five diseases mentioned above affecting the growth of apple trees. The system uses a convolutional neural network to build a CNN model for disease identification of apple leaves. The data set is first processed using a pre-processing model (Xception) and the processed data is loaded into the built model. The experiments show that the accuracy of disease recognition using this model is high, and that fine farming of apple trees can be achieved through the control system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuehua Liu, Haojie Liu, Siyuan Yu, and Zhenpeng Zhong "A control system for fine farming of apple trees", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 127820W (9 August 2023); https://doi.org/10.1117/12.3001228

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KEYWORDS

Diseases and disorders

Data modeling

Education and training

Control systems

Environmental monitoring

Neurological disorders

Environmental sensing

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