JACIII Vol.23 No.6 pp. 1004-1011
doi: 10.20965/jaciii.2019.p1004


A Novel Growth Evaluation System for Tobacco Planting Based on Image Classification

Yonghua Xiong*,**,† and Shuangqing Yu*,**

*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

**Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

Corresponding author

January 24, 2019
June 25, 2019
November 20, 2019
tobacco, evaluation system, image processing, planting guidance

A novel growth evaluation system for tobacco planting (GESTP) based on a B/S architecture is introduced in this paper. It mainly consists of three parts: a mobile application (mobile app), a browser terminal and a server terminal. The GESTP system is used to evaluate the growth of tobacco and give farmers planting guidance instead them having to rely on personal judgment. Once the photos of the tobacco leaf and plant are uploaded to the web server via the mobile app or the browser terminal, the application program of the server terminal is called to process the tobacco images with image processing algorithms. The results including the grade of the tobacco growth and planting guidance will be provided to the client within a 2-second timeframe, which greatly help farmers understand the growth of tobacco and take planting measures. The running result indicates that the GESTP system provides an effective and straightforward way to evaluate the growth of tobacco and provides cultivation guidance to tobacco farmers.

The system structure of a novel growth evaluation

The system structure of a novel growth evaluation

Cite this article as:
Y. Xiong and S. Yu, “A Novel Growth Evaluation System for Tobacco Planting Based on Image Classification,” J. Adv. Comput. Intell. Intell. Inform., Vol.23 No.6, pp. 1004-1011, 2019.
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Last updated on Jul. 12, 2024