[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124327-en":3,"doc-seo-124327-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124327,962075114765,"Quinn","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Weather Based Prediction Models for Disease and Pest Using Machine Learning - A Review","Critical review of weather-based prediction models for disease and pest attacks on crops using machine learning (ML) algorithms is presented. Weather conditions are treated as key accelerators for disease and pest growth and spread, enabling models to attain high prediction accuracy. With advances in ML, successful crop-level forecasting is emphasized, supporting timely pest and disease management to reduce plant damages. Prediction stages, applied techniques, the role of weather parameters, and performance metrics are compared, alongside a discussion of needed high-accuracy future models.","The World’s Largest Open Access Agricultural & Applied Economics Digital Library  \nThis document is discoverable and free to researchers across the  \nglobe due to the work of AgEcon Search .  \nHelp ensure our sustainability.  \nGive to AgEcon Search  \nAgEcon Search  \nhttp://ageconsearch.umn.eduaesearch@umn.edu  \nPapers downloaded from AgEcon Search may be used for non-commercial purposes and personal study only.No other use, including posting to another Internet site, is permitted without permission from the copyrightowner (not AgEcon Search), or as allowed under the provisions of Fair Use, U.S. Copyright Act, Title 17 U.S.C.  \nNo endorsement of AgEcon Search or its fundraising activities by the author(s) of the following work or theiremployer(s) is intended or implied.  \nAsian Journal of Agricultural Extension, Economics &Sociology  \nVolume 41, Issue 11, Page 334-345, 2023; Article no.AJAEES. 103172ISSN: 2320-7027  \n# Weather Based Prediction Models forDisease and Pest Using Machine\n\nLearning: A Review  \nDayana David a++*  \na Department of Agricultural Statistics, College of Agriculture, Kerala Agricultural University,  \nVellannikkara, Kerala, India.  \nAuthor’s contribution  \nThe sole author designed, analyzed, interpreted and prepared the manuscript.  \n## Article Information\n\nDOI: 10.9734/AJAEES/2023/v41i112290  \nOpen Peer Review History:  \nThis journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers,peer review comments, different versions of the manuscript, comments of the editors, etc are available here:  \nhttps://www.sdiarticle5.com/review-history/103172  \n## Review Article\n\nReceived: 16/05/2023  \nAccepted: 21/07/2023  \nPublished: 07/12/2023  \n## ABSTRACT\n\nCritical review of weather based prediction models of disease and pest attack on crops usingmachine learning (ML) algorithms are performed in the study. Since suitable weather conditions arethe accelerators for the growth and spreading of disease or pest, the prediction models based onweather condition achieves high degree of accuracy. Due to the advancement of technology MLalgorithms remarks successful application in prediction of diseases and pest on crops. The scopeof the review work lies in the fact that the accurate forewarning system helps for the timelyapplication of pest and disease management techniques which have greater significance incontrolling and solving the damages due to diseases or pest infestation in plants. Stages inprediction models are analysed and the applied techniques are compared in detail in this review.Consequently, importance of weather parameters in perdition and, performance metrics used forevaluating the prediction models are compared and presented. The review presents the detaileddiscussion on machine learning algorithms used in the prediction models. The review reveals thatnew models with high degree of accuracy need to be developed for the prediction of diseases orpest outbreak of various crops.  \n_____________________________________________________________________________________________________  \n++ Assistant Professor  \n*Corresponding author: E-mail: dayana.d@kau.in;  \nAsian J. Agric. Ext. Econ. Soc., vol. 41, no. 11, pp. 334-345, 2023  \nDavid; Asian J. Agric. Ext. Econ. Soc., vol. 41, no. 11, pp. 334-345, 2023; Article no.AJAEES. 103172  \nKeywords: Weather parameters; machine learning; prediction model; evaluation metric.  \n## ABBREVIATIONS\n\n\n| Area Under the ROC Curve   | ROC-AUC   | Mann-Whitney-Wilcoxon   | MWW   |\n| --- | --- | --- | --- |\n| Area Under the ROC Curve   | ROC-AUC   | Mann-Whitney-Wilcoxon   | MWW   |\n| Artificial Intelligence   | AI   | Maximum Temperature   | MaxTemp   |\n| Artificial Neural Network   | ANN   | Mean Biased Error   | MBE   |\n| Autoregressive Integrated Moving Average   | ARIMA   | Minimum Temperature   | MinTemp   |\n| Balanced Accuracy   | BA   | Modelling Efficiency   | EF   |\n| Balanced Accuracy   | BA   | Moving-Average   | MA   |\n| B","cbCaic6fm8CSMxZl","https://ap.wps.com/l/cbCaic6fm8CSMxZl","pdf",325408,1,13,"English","en",105,"# Article Information\n# Review Article\n# ABSTRACT\n# ABBREVIATIONS\n# 1. INTRODUCTION\n# Weather-Based Prediction Models and ML Techniques","[{\"question\":\"Why do weather-based conditions matter for disease and pest prediction models?\",\"answer\":\"Suitable weather conditions accelerate growth and spreading of diseases and pests, so weather-driven models can achieve high prediction accuracy.\"},{\"question\":\"What is the main purpose of the review?\",\"answer\":\"The review evaluates prediction stages, compares applied techniques, and contrasts the importance of weather parameters and performance metrics across ML-based approaches.\"},{\"question\":\"How does accurate forewarning support agricultural management?\",\"answer\":\"Accurate forecasting enables timely application of pest and disease management techniques, helping control and solve damages caused by infestations.\"}]","Weather Based Prediction Models for Disease and Pest Using Machine Learning - A Review | PDF",1785821622,33,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"weather-based-prediction-models-for-disease-and-pest-using-machine-learning-a-review","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/weather-based-prediction-models-for-disease-and-pest-using-machine-learning-a-review/124327/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why do weather-based conditions matter for disease and pest prediction models?","Question",{"text":75,"@type":76},"Suitable weather conditions accelerate growth and spreading of diseases and pests, so weather-driven models can achieve high prediction accuracy.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the main purpose of the review?",{"text":80,"@type":76},"The review evaluates prediction stages, compares applied techniques, and contrasts the importance of weather parameters and performance metrics across ML-based approaches.",{"name":82,"@type":73,"acceptedAnswer":83},"How does accurate forewarning support agricultural management?",{"text":84,"@type":76},"Accurate forecasting enables timely application of pest and disease management techniques, helping control and solve damages caused by infestations.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]