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Application of UAV Image Detection Based on CBPSO Algorithm in Crop Pest Identification

Application of UAV Image Detection Based on CBPSO Algorithm in Crop Pest Identification

Li Tian1*, Chun Wang2, Hailiang Li2, Haitian Sun2 and Chang Wang3

1College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, 163319, China
2South Subtropical Crops Research Institute, Chinese Academy of Tropical Agriculture Science, Zhanjiang, 524000, China
3College of Science, Heilongjiang Bayi Agricultural University, Daqing, 163319, China
 
* Corresponding author: tllbj19781015@126.com

Fig. 1.

Flow chart of PSO algorithm.

Fig. 2.

CPSO algorithm flow chart.

Fig. 3.

CBPSO algorithm flow chart.

Fig. 4.

Particle structure diagram.

Fig. 5.

Partial examples of three longan diseases.

Fig. 6.

Optimized feature item map obtained after optimization.

Fig. 7.

Comparison of classification accuracy of three longan diseases.

Fig. 8.

Classification results of two classification methods.

Fig. 9.

Comparison chart of 5 algorithm dimensions (10-30).

Equation 1
Equation 2
Equation 3
Equation 4
Equation 5
Equation 6
Equation 7

Pakistan Journal of Zoology

June

Pakistan J. Zool., Vol. 56, Iss. 3, pp. 1001-1500

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