Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse
Research Article  ·  Published: 28 August 2025
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Digital Intelligence in Agriculture
Volume 1, Issue 1, 2025: 24-34
Research Article Open Access

Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse

1 Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
2 College of Plant Protection, China Agricultural University, Beijing 100193, China
3 Department of Smart Agriculture and Engineering, Wenzhou Vocational College of Science and Technology, Wenzhou 325006, China
* Corresponding Authors: Zhibin Wang, [email protected]; Jianbo Shen, [email protected]
Volume 1, Issue 1

Article Information

Abstract

Regular control of diseases and pests is crucial for maximizing cauliflower yield and quality. Spray application of chemical pesticides causes environmental pollution, pesticide residue accumulation, and is labor-intensive. To address these challenges, we developed an unmanned plant protection device integrating ozone sterilization, light traps, and Internet of Things (IoT) technologies. Installed in a greenhouse, the device included an ozone generator, high-speed fan, and insect traps. It was remotely controlled via a mobile app for real-time adjustments to ozone release, fan speed, trap lamp operation, environmental data collection, and system monitoring. Greenhouse experiments tested the device against cauliflower aphids, Pieris rapae, and black rot. Infestation/infection rates of aphids, Pieris rapae, and black rot in the greenhouse with the device were 23.18%, 19.72%, and 45.83%, respectively—22.52%, 7.21%, and 6.95% lower than the rates in the conventional greenhouse with pesticide sprays. No adverse effects on cauliflower growth were noted, and pesticide use was significantly reduced, lowering both agrochemical and labor costs. The results demonstrate that the unmanned device effectively controls pests and diseases and is safe for use. This offers a bio-friendly solution for pest control in cauliflower production.

Graphical Abstract

Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse

Keywords

plant protection machinery unmanned pesticide reduction smart phytoprotection disease insect pest agriculture facility

Data Availability Statement

Data will be made available on request.

Funding

This work was supported by the National Key R&D Program of China under Grant 2022YFD1401200.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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Cited By (1)

  1. Yaojun Zhang, Guiling Wu, Jianbo Shen, Chong Xu. Precise tea leaf disease detection using UAV low-altitude remote sensing and optimized YOLO11 model. PLOS One, 2026 , 21 (2).
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* Citation data provided by Crossref Cited-by.

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APA Style
Wang, Z., Fan, Z., Chen, X., Qiao, X., & Shen, J. (2025). Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse. Digital Intelligence in Agriculture, 1(1), 24–34. https://doi.org/10.62762/DIA.2025.202928
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TY  - JOUR
AU  - Wang, Zhibin
AU  - Fan, Zhenzhen
AU  - Chen, Xifeng
AU  - Qiao, Xiaojun
AU  - Shen, Jianbo
PY  - 2025
DA  - 2025/08/28
TI  - Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse
JO  - Digital Intelligence in Agriculture
T2  - Digital Intelligence in Agriculture
JF  - Digital Intelligence in Agriculture
VL  - 1
IS  - 1
SP  - 24
EP  - 34
DO  - 10.62762/DIA.2025.202928
UR  - https://www.icck.org/article/abs/DIA.2025.202928
KW  - plant protection machinery
KW  - unmanned
KW  - pesticide reduction
KW  - smart phytoprotection
KW  - disease
KW  - insect pest
KW  - agriculture facility
AB  - Regular control of diseases and pests is crucial for maximizing cauliflower yield and quality. Spray application of chemical pesticides causes environmental pollution, pesticide residue accumulation, and is labor-intensive. To address these challenges, we developed an unmanned plant protection device integrating ozone sterilization, light traps, and Internet of Things (IoT) technologies. Installed in a greenhouse, the device included an ozone generator, high-speed fan, and insect traps. It was remotely controlled via a mobile app for real-time adjustments to ozone release, fan speed, trap lamp operation, environmental data collection, and system monitoring. Greenhouse experiments tested the device against cauliflower aphids, Pieris rapae, and black rot. Infestation/infection rates of aphids, Pieris rapae, and black rot in the greenhouse with the device were 23.18%, 19.72%, and 45.83%, respectively—22.52%, 7.21%, and 6.95% lower than the rates in the conventional greenhouse with pesticide sprays. No adverse effects on cauliflower growth were noted, and pesticide use was significantly reduced, lowering both agrochemical and labor costs. The results demonstrate that the unmanned device effectively controls pests and diseases and is safe for use. This offers a bio-friendly solution for pest control in cauliflower production.
SN  - 3069-3187
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Wang2025Preliminar,
  author = {Zhibin Wang and Zhenzhen Fan and Xifeng Chen and Xiaojun Qiao and Jianbo Shen},
  title = {Preliminary Application of Unmanned Plant Protection Machinery for Control of Cauliflower Diseases and Insect Pests in a Greenhouse},
  journal = {Digital Intelligence in Agriculture},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {24-34},
  doi = {10.62762/DIA.2025.202928},
  url = {https://www.icck.org/article/abs/DIA.2025.202928},
  abstract = {Regular control of diseases and pests is crucial for maximizing cauliflower yield and quality. Spray application of chemical pesticides causes environmental pollution, pesticide residue accumulation, and is labor-intensive. To address these challenges, we developed an unmanned plant protection device integrating ozone sterilization, light traps, and Internet of Things (IoT) technologies. Installed in a greenhouse, the device included an ozone generator, high-speed fan, and insect traps. It was remotely controlled via a mobile app for real-time adjustments to ozone release, fan speed, trap lamp operation, environmental data collection, and system monitoring. Greenhouse experiments tested the device against cauliflower aphids, Pieris rapae, and black rot. Infestation/infection rates of aphids, Pieris rapae, and black rot in the greenhouse with the device were 23.18\%, 19.72\%, and 45.83\%, respectively—22.52\%, 7.21\%, and 6.95\% lower than the rates in the conventional greenhouse with pesticide sprays. No adverse effects on cauliflower growth were noted, and pesticide use was significantly reduced, lowering both agrochemical and labor costs. The results demonstrate that the unmanned device effectively controls pests and diseases and is safe for use. This offers a bio-friendly solution for pest control in cauliflower production.},
  keywords = {plant protection machinery, unmanned, pesticide reduction, smart phytoprotection, disease, insect pest, agriculture facility},
  issn = {3069-3187},
  publisher = {Institute of Central Computation and Knowledge}
}

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