Insecticidal Counting Dataset Based on One Solar Insecticidal Lamp and Two Cameras

Citation Author(s):
Kai
Huang
National Engineering and Technology Center for Information Agriculture, Nanjing,China; Nanjing Agricultural University, Nanjing, China.
Lei
Shu
Nanjing Agricultural University, Nanjing, China; School of Engineering, University of Lincoln, Lincoln, U.K..
Kailiang
Li
Nanjing Agricultural University, Nanjing, China.
Yuyu
Feng
Nanjing Agricultural University, Nanjing, China.
Zitian
Jiang
Nanjing Agricultural University, Nanjing, China.
Yan
Zhu
National Engineering and Technology Center for Information Agriculture, Nanjing,China; Nanjing Agricultural University, Nanjing, China.
Submitted by:
Kai Huang
Last updated:
Fri, 06/21/2024 - 14:03
DOI:
10.21227/p189-v183
Research Article Link:
Insecticidal counting dataset based on one solar insecticidal lamp and two cameras
License:
Creative Commons Attribution
350 Views
Categories:
Agriculture
Artificial Intelligence
IoT
Machine Learning
Sensors
Keywords:
insecticidal counting, Solar Insecticidal Lamp, Pulse Number of Insecticidal Sounds (PNIS), Pulse Number of Insecticidal Discharges (PNID), Video Data
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Abstract 

Solar Insecticidal Lamp, as a professional device for smart phytoprotection, can kill the insects to calculate the insect density, further guiding the famers to spray pesticide accurately. Various experiments were performed by a testbed, combined Solar Insecticidal Lamp with two cameras, to get the dataset including time, Pulse Number of Insecticidal Sounds, Pulse Number of Insecticidal Discharges, insecticidal status, abnormal value, and insecticidal quantity. The dataset can be used for a variety of methods related to the research of insecticidal counting.

Instructions: 

The dataset includes marked data and video. The table in the dataset include time, Pulse Number of Insecticidal Sounds, Pulse Number of Insecticidal Discharges, insecticidal status, abnormal value, and insecticidal quantity. The video is used for marking data.

Funding Agency: 
National Natural Science Foundation of China; Jiangsu Agriculture Science and Technology Innovation Fund.

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