SMARTerra, a High-Resolution Decision Support System for Monitoring Plant Pests and Diseases

被引:0
|
作者
Fiori, Michele [1 ]
Fois, Giuliano [1 ]
Gerardi, Marco Secondo [2 ]
Maggio, Fabio [3 ]
Milesi, Carlo [3 ]
Pinna, Andrea [3 ]
机构
[1] Reg Environm Protect Agcy Sardinia, ARPAS, Via Contivecchi 7, I-09122 Cagliari, Italy
[2] Reg Agcy Agr Dev, LAORE Sardegna, Via Caprera 8, I-09123 Cagliari, Italy
[3] Ctr Adv Studies Res & Dev Sardinia, CRS4, Local Piscina Manna Edificio 1, I-09050 Pula, Italy
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 18期
关键词
agriculture; agrometeorology; decision support system; WebGIS; plant disease; pest prediction; rice blast; locust; geostatistical interpolation; Sardinia; EXTERNAL DRIFT; REGRESSION; PRECIPITATION; MODEL;
D O I
10.3390/app14188275
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application The SMARTerra decision support system provides high-resolution risk maps related to plant diseases and pests, enabling prompt and targeted intervention that minimizes environmental impact while minimizing economic losses.Abstract 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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页数:20
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