A model-based methodology for the early warning detection of cucumber downy mildew in greenhouses: An experimental evaluation
文献类型： 外文期刊
作者： Liu, Ran 1 ; Wang, Hui 2 ; Luis Guzman, Jose 1 ; Li, Ming 3 ;
作者机构： 1.Univ Almeria, Dept Informat, CeiA3, CIESOL, Ctra Sacramento S-N, Almeria, Spain
2.Beijing Acad Agr & Forestry Sci, Inst Plant & Environm Protect, Beijing Key Lab Environm Friendly Management Frui, Beijing 100097, Peoples R China
3.Minist Agr, Natl Engn Res Ctr Informat Technol Agr,Ctr Urban, Natl Engn Lab Agriprod Qual Traceabil,Meteorol Se, Informat Technol Res Ctr,Beijing Acad Agr & Fores, Beijing, Peoples R China
关键词： Greenhouse climate; Mechanistic model; Downy mildew; Disease model; Weather forecast
期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：6.757； 五年影响因子：6.817 ）
ISSN： 0168-1699
年卷期： 2022 年 194 卷
页码：
收录情况： SCI
摘要： This study introduces a new approach combining a mechanistic greenhouse climate model and a disease model for the forecast of diseases occurrence in greenhouses. The method was evaluated in NPADB (National Precision Agriculture Demonstration Base), Beijing, China using data collected from transplanting to the primary infection that occurred in the greenhouse, in the spring season of 2021. First, the dynamic model is used to predict the greenhouse indoor climate 72 h ahead. Then, this prediction is used as input to the disease model to detect disease occurrence in advance. The predictions for the greenhouse downy mildew were compared using real-time measured data for two months. After several false-positive reports, one positive report by both methods fitted the first observation in the greenhouse on April 24, 2021. Thus, the main contribution of this work is the early warning cucumber downy mildew via coupling climate and disease models, where only transient inputs from weather forecasts are required.
- 相关文献
作者其他论文 更多>>
-
Integration of Deep Learning and Sparrow Search Algorithms to Optimize Greenhouse Microclimate Prediction for Seedling Environment Suitability
作者：Shi, Dongyuan;Yuan, Pan;Liang, Longwei;Li, Ming;Diao, Ming;Shi, Dongyuan;Li, Ming;Gao, Lutao
关键词：CNN; greenhouse microclimate; LSTM; sparrow search algorithm; time series prediction
-
Porphyrin-based covalent organic framework as oxidase mimic for highly sensitive colorimetric detection of pesticides
作者：Liu, Qingju;Zhu, Junyi;Wang, Hui;Luan, Yunxia;Zhang, Zhikun
关键词：Porphyrin-based covalent organic framework; Oxidase mimics; Colorimetric detection; Pesticides
-
Role of Rain in the Spore Dispersal of Fungal Pathogens Associated with Grapevine Trunk Diseases
作者：Ji, Tao;Ji, Tao;Altieri, Valeria;Salotti, Irene;Rossi, Vittorio;Li, Ming
关键词：Bayesian analysis; grapevine trunk diseases; rain threshold; spore sampling
-
Research on quantitative detection technology of raccoon-derived ingredient adulteration in sausage products
作者：Wang, Hui;Chen, Chen;Xie, Mengying;Zhang, Yan;Chen, Boxu;Li, Yongyan;Zhou, Wei;Jia, Wenshen;Chen, Jia;Chen, Jia;Zhou, Wei
关键词：droplet digital PCR; quantitative study; raccoon; sausage adulteration
-
Seasonal Periodicity of the Airborne Spores of Fungi Causing Grapevine Trunk Diseases: An Analysis of 247 Studies Published Worldwide
作者：Ji, Tao;Ji, Tao;Salotti, Irene;Altieri, Valeria;Rossi, Vittorio;Li, Ming
关键词：grapevine trunk diseases; inoculum presence; seasonal periodicity; spore trapping
-
Numerical Simulation of Structural Performance in a Single-Tube Frame for 12 m-Span Chinese Solar Greenhouses Subjected to Snow Loads
作者：Li, Ming;Zhao, Qingsong;Wei, Xiaoming;Wang, Lichun;Wei, Xiaoming;Wang, Lichun
关键词：reinforcement; initial geometry imperfection; cross-section
-
Temperature-Dependent Sporulation of the Fungus Coniella diplodiella, the Causal Agent of Grape White Rot
作者：Ji, Tao;Ji, Tao;Languasco, Luca;Rossi, Vittorio;Li, Ming;Li, Ming
关键词：conidia; latency period; mathematical equations; pycnidia; temperature
