Insect Scouting Prediction For Crops Based On BP Neural Network

被引：0

作者：

Wang Hongbin ^{[1
]}

Zhang Liyi ^{[1
]}

Wang Huakui ^{[1
]}

机构：

[1] XinZhou Teachers Univ, Dept Comp Sci, Xinzhou 034000, Shanxi, Peoples R China

来源：

ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6 | 2009年

关键词：

Occurrence level of pests Prediction; Matlab neural network toolbox; BP neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The main pests do serious harm to crops perennial and damage the agricultural economy. To predict the trends of pests in the future, the works to control the pests can be implemented designedly and purposefully Only when the prediction is betimes and accurately, people can draw out the colligated plan and take the effective measure to reduce the quantity of pests and ensure agricultural product fruitful. It's easy and effective to make BP network objects by using the Neural Network Toolbox (NNT) based on MATLAB to evaluate the predictive model. The test that use the data of historical occurrence level of pests in paddy of Lujiang County, Anhui province is done, the result shows the feasibility of the predictive model. So it's valuable and has a bright future.

引用

页码：1555 / 1558

页数：4

共 50 条

[21] Prediction of Fabric Drape Based on BP Neural Network Paper
Xia, Shuhui
Fan, Xiujuan
[J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), 2020, : 206 - 210
[22] Prediction of Surface Roughness for HSM Based on BP Neural Network
Chen, Ying
Sun, Yanhong
Yang, Zhenwen
Wu, Guangdong
[J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND COMPUTER SCIENCE (ICEMC 2017), 2017, 73 : 421 - 424
[23] Prediction of Alloy Yield Based on Optimized BP Neural network
Huang, Shan
Huang, Xinhao
Weng, Xiaona
Ma, Liyuan
Sun, Zhiyu
[J]. 2019 5TH INTERNATIONAL CONFERENCE ON GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS (GPMMTA 2019), 2019, 2185
[24] Prediction of magnetic body top based on BP neural network
Zhao, Wenju
Liu, Yunxiang
Tao, Deqiang
Zhao, Li
Hu, Wentao
[J]. Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2020, 55 (05): : 1139 - 1148
[25] Defects Prediction of Aerospace Software Based on BP Neural Network
Xie Nihui
Shi Cuihong
Li Yinlong
[J]. 2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018), 2018, : 1057 - 1061
[26] Angular Velocity Prediction of GFSINS Based on BP Neural Network
Duan Hai-qing
Zhu Qi-dan
[J]. MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 452-453 : 846 - 852
[27] Prediction of Zenith Tropospheric Delay Based on BP Neural Network
Wang, Yong
Zhang, Lihui
Yang, Jing
[J]. ADVANCES IN COMPUTER SCIENCE AND EDUCATION, 2012, 140 : 459 - +
[28] Yarn Quality Prediction Based on Improved BP Neural Network
Yang Jian-guo
Xiong Jing-wei
Xun Lan
[J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, MECHATRONICS AND INTELLIGENT SYSTEMS (AMMIS2015), 2016, : 686 - 693
[29] Prediction of Abrasive Belt Wear Based on BP Neural Network
Cao, Yuanxun
Zhao, Ji
Qu, Xingtian
Wang, Xin
Liu, Bowen
[J]. MACHINES, 2021, 9 (12)
[30] Performance Prediction of Speed Skaters Based on BP Neural Network
Peng, Di
Lian, Hongye
[J]. MOBILE INFORMATION SYSTEMS, 2022, 2022

← 1 2 3 4 5 →