Agricultural Environment and Intelligent Plant Protection Equipment-Reference-Cited by-同舟云学术

Agricultural Environment and Intelligent Plant Protection Equipment

Published:2024-04-30 Issue:5 Volume:14 Page:937
ISSN:2073-4395
Container-title:Agronomy
language:en
Short-container-title:Agronomy

Author:

He Xiongkui¹^ORCID,Yang Fuzeng²^ORCID,Qiu Baijing³

Affiliation:

1. College of Science, China Agricultural University, Beijing 100193, China

2. College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China

3. Key Laboratory of Plant Protection Engineering, Ministry of Agriculture and Rural Affairs, Jiangsu University, Zhenjiang 212013, China

Abstract

Intelligent plant protection equipment utilizes advanced sensor technology and data analysis algorithms to achieve real-time monitoring and precise management of crop growth status, pest and disease situations, and environmental parameters [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/2073-4395/14/5/937/pdf

Reference14 articles.

1. Li, T., Qi, P., Wang, Z., Xu, S., Huang, Z., Han, L., and He, X. (2022). Evaluation of the Effects of Airflow Distribution Patterns on Deposit Coverage and Spray Penetration in Multi-Unit Air-Assisted Sprayer. Agronomy, 12.

2. Wang, S., Wang, W., Lei, X., Wang, S., Li, X., and Norton, T. (2022). Canopy Segmentation Method for Determining the Spray Deposition Rate in Orchards. Agronomy, 12.

3. Sun, D., Liu, W., Li, Z., Zhan, X., Dai, Q., Xue, X., and Song, S. (2022). Numerical Experiment and Optimized Design of Pipeline Spraying On-Line Pesticide Mixing Apparatus Based on CFD Orthogonal Experiment. Agronomy, 12.

4. Wang, S., Qi, P., Zhang, W., and He, X. (2022). Development and Application of an Intelligent Plant Protection Monitoring System. Agronomy, 12.

5. Ren, Z., Liu, Z., Yuan, M., Liu, H., Wang, W., Qin, J., and Yang, F. (2022). Double-DQN-Based Path-Tracking Control Algorithm for Orchard Traction Spraying Robot. Agronomy, 12.