用于监测植物病虫害的高分辨率决策支持系统 SMARTerra

Q1 Mathematics
Michele Fiori, Giuliano Fois, Marco Secondo Gerardi, Fabio Maggio, Carlo Milesi, Andrea Pinna
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引用次数: 0

摘要

预测和监测植物病虫害是农业的关键活动。这些活动使种植者能够采取预防措施,减少疾病和有害昆虫的传播。因此,它们可以减少作物损失,提高杀虫剂和资源的使用效率,保护植物健康,促进环境的可持续发展。我们展示了 SMARTerra 决策支持系统,该系统处理每日测量和预测的天气数据,并以高分辨率对整个撒丁岛地区进行空间插值。根据这些数据,SMARTerra 可生成植物病虫害风险预测。目前,预测稻瘟病和蝗虫卵孵化风险的模型已在该基础设施中实施。通过 SMARTerra 平台的网络界面,用户可以直观地看到详细的风险地图,并及时采取预防措施。此外,还实施了一个简单的通知系统,直接向应急响应人员发出警报。SMARTerra 基础设施的模型输出结果与 LAORE 地区机构的实地观测结果具有可比性。该基础设施提供了一个数据库,用于存储生成的时间序列和风险地图,供各机构和研究人员进行进一步分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMARTerra, a High-Resolution Decision Support System for Monitoring Plant Pests and Diseases
The prediction and monitoring of plant diseases and pests are key activities in agriculture. These activities enable growers to take preventive measures to reduce the spread of diseases and harmful insects. Consequently, they reduce crop loss, make pesticide and resource use more efficient, and preserve plant health, contributing to environmental sustainability. We illustrate the SMARTerra decision support system, which processes daily measured and predicted weather data, spatially interpolating them at high resolution across the entire Sardinia region. From these data, SMARTerra generates risk predictions for plant pests and diseases. Currently, models for predicting the risk of rice blast disease and the hatching of locust eggs are implemented in the infrastructure. The web interface of the SMARTerra platform allows users to visualize detailed risk maps and promptly take preventive measures. A simple notification system is also implemented to directly alert emergency responders. Model outputs by the SMARTerra infrastructure are comparable with results from in-field observations produced by the LAORE Regional Agency. The infrastructure provides a database for storing the time series and risk maps generated, which can be used by agencies and researchers to conduct further analysis.
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来源期刊
Applied Sciences
Applied Sciences Mathematics-Applied Mathematics
CiteScore
6.40
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: APPS is an international journal. APPS covers a wide spectrum of pure and applied mathematics in science and technology, promoting especially papers presented at Carpato-Balkan meetings. The Editorial Board of APPS takes a very active role in selecting and refereeing papers, ensuring the best quality of contemporary mathematics and its applications. APPS is abstracted in Zentralblatt für Mathematik. The APPS journal uses Double blind peer review.
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