Chengchou Han , Haishun Yang , Dharmic Payyala , Tiyuan Xia , Jiani Liu , Yongfu Zhang , Lixin Yin , Zhen Ren , Ye Chen , Yuan Su , Liling Mo , Yuyu Zhang , Yu Zhong , Xiaoxu Bi , Jianbin Li , Yong Chen
{"title":"一个用于玉米和大豆灌溉决策支持的web应用程序","authors":"Chengchou Han , Haishun Yang , Dharmic Payyala , Tiyuan Xia , Jiani Liu , Yongfu Zhang , Lixin Yin , Zhen Ren , Ye Chen , Yuan Su , Liling Mo , Yuyu Zhang , Yu Zhong , Xiaoxu Bi , Jianbin Li , Yong Chen","doi":"10.1016/j.agwat.2025.109454","DOIUrl":null,"url":null,"abstract":"<div><div>Irrigation is crucial for agricultural production. With the rise in data availability related to agriculture, we developed an irrigation decision support application, CornSoyWater (<span><span>http://cornsoywater.unl.edu</span><svg><path></path></svg></span>). The application uses real-time weather data and forecasts along with field-specific soil and crop management details to run multiple crop simulations. The outputs include current crop stage, soil water balance, and irrigation recommendations. The application visualizes the user's fields on Google Maps, indicating irrigation needs with color-coded icons. As of now, CornSoyWater operates across ten western U.S. Corn Belt states, and has been validated by field data. It has been highly promoted by Nebraska agricultural educators and has more than a thousand registered users. This crop irrigation scheduling tool enables irrigators to better utilize water resources, increase productivity, and reduce production costs across the western U.S. Corn Belt.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109454"},"PeriodicalIF":6.5000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CornSoyWater, a web application for irrigation decision support on corn and soybean\",\"authors\":\"Chengchou Han , Haishun Yang , Dharmic Payyala , Tiyuan Xia , Jiani Liu , Yongfu Zhang , Lixin Yin , Zhen Ren , Ye Chen , Yuan Su , Liling Mo , Yuyu Zhang , Yu Zhong , Xiaoxu Bi , Jianbin Li , Yong Chen\",\"doi\":\"10.1016/j.agwat.2025.109454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Irrigation is crucial for agricultural production. With the rise in data availability related to agriculture, we developed an irrigation decision support application, CornSoyWater (<span><span>http://cornsoywater.unl.edu</span><svg><path></path></svg></span>). The application uses real-time weather data and forecasts along with field-specific soil and crop management details to run multiple crop simulations. The outputs include current crop stage, soil water balance, and irrigation recommendations. The application visualizes the user's fields on Google Maps, indicating irrigation needs with color-coded icons. As of now, CornSoyWater operates across ten western U.S. Corn Belt states, and has been validated by field data. It has been highly promoted by Nebraska agricultural educators and has more than a thousand registered users. This crop irrigation scheduling tool enables irrigators to better utilize water resources, increase productivity, and reduce production costs across the western U.S. Corn Belt.</div></div>\",\"PeriodicalId\":7634,\"journal\":{\"name\":\"Agricultural Water Management\",\"volume\":\"313 \",\"pages\":\"Article 109454\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Water Management\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378377425001684\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Water Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378377425001684","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
CornSoyWater, a web application for irrigation decision support on corn and soybean
Irrigation is crucial for agricultural production. With the rise in data availability related to agriculture, we developed an irrigation decision support application, CornSoyWater (http://cornsoywater.unl.edu). The application uses real-time weather data and forecasts along with field-specific soil and crop management details to run multiple crop simulations. The outputs include current crop stage, soil water balance, and irrigation recommendations. The application visualizes the user's fields on Google Maps, indicating irrigation needs with color-coded icons. As of now, CornSoyWater operates across ten western U.S. Corn Belt states, and has been validated by field data. It has been highly promoted by Nebraska agricultural educators and has more than a thousand registered users. This crop irrigation scheduling tool enables irrigators to better utilize water resources, increase productivity, and reduce production costs across the western U.S. Corn Belt.
期刊介绍:
Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.