New plant health monitoring framework

With the continuous advancement of technology and the expanding demands of the agricultural market, plant health monitoring holds significant importance in the agricultural sector. However, according to statistics, most current monitoring models exhibit low detection efficiency and inadequate accuracy. To address these issues and specifically enhance the efficiency and accuracy of plant health monitoring, this paper proposes a recognition strategy and plan composed of two parts: (1) identification of plant species and (2) health monitoring, diagnosis, and treatment recommendations. During the health monitoring process, issues such as plant diseases, pests, nutrient deficiencies, and inadequate environmental conditions can be detected. This strategy, implemented through a systematic automated monitoring system, will greatly benefit the large-scale development of agriculture.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-10-12
DOI
https://doi.org/10.54254/2755-2721/95/20241744
Primary Topic
Smart Agriculture and AI
Type
article
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article

New plant health monitoring framework

M. Chen
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Applied and Computational Engineering
Smart Agriculture and AI
article

New plant health monitoring framework

M. Chen
article en

Abstract

With the continuous advancement of technology and the expanding demands of the agricultural market, plant health monitoring holds significant importance in the agricultural sector. However, according to statistics, most current monitoring models exhibit low detection efficiency and inadequate accuracy. To address these issues and specifically enhance the efficiency and accuracy of plant health monitoring, this paper proposes a recognition strategy and plan composed of two parts: (1) identification of plant species and (2) health monitoring, diagnosis, and treatment recommendations. During the health monitoring process, issues such as plant diseases, pests, nutrient deficiencies, and inadequate environmental conditions can be detected. This strategy, implemented through a systematic automated monitoring system, will greatly benefit the large-scale development of agriculture.

Applied and Computational EngineeringVol. 95(1)
Beijing Normal University (CN)
Zero hunger
Openalex Percentile: Top 90%
Smart Agriculture and AI
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