{"title":"Proposal of model for prediction of grape processing and spraying time by using IoT\n smart agriculture sensor data","authors":"Jakup Fondaj, Mentor Hamit, Samedin Krrabaj, Xhemal Zenuni, Jaumin Ajdari","doi":"10.59035/doqn6033","DOIUrl":null,"url":null,"abstract":"The grape industry's impact on agriculture and the economy requires precise\n forecasting for processing and spraying schedules to optimize production. This article\n introduces an innovative IoT-based model for predicting optimal timings in grape\n processing and spraying. By integrating real-time environmental and viticultural data,\n the model improves decision-making, enhancing product quality, reducing energy\n consumption, and increasing operational efficiency. Crucially, SARIMA predictive\n algorithms forecast parameters like temperature, humidity, wind speed, and air pressure.\n This comprehensive model transforms the grape industry, offering advanced decision\n support and promoting sustainable, resource-efficient production. The research signals a\n potential shift to precision agriculture, balancing economic viability with\n environmental stewardship in grapes.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"409 ","pages":""},"PeriodicalIF":16.4000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59035/doqn6033","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The grape industry's impact on agriculture and the economy requires precise
forecasting for processing and spraying schedules to optimize production. This article
introduces an innovative IoT-based model for predicting optimal timings in grape
processing and spraying. By integrating real-time environmental and viticultural data,
the model improves decision-making, enhancing product quality, reducing energy
consumption, and increasing operational efficiency. Crucially, SARIMA predictive
algorithms forecast parameters like temperature, humidity, wind speed, and air pressure.
This comprehensive model transforms the grape industry, offering advanced decision
support and promoting sustainable, resource-efficient production. The research signals a
potential shift to precision agriculture, balancing economic viability with
environmental stewardship in grapes.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.