Evja - Intelligent Support System for precision agriculture

被引:0
作者
Loret, Niccolo [1 ]
Affinito, Antonio [2 ]
Bonanomi, Giuliano [3 ]
机构
[1] Evja, Evja R&D, Neaples, Italy
[2] Evja, Evja CTO, Neaples, Italy
[3] Univ Naples Federico II, Dept Agr Sci, Neaples, Italy
来源
2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR) | 2019年
关键词
Precision Farming; Internet of Things; Predictive Models; Bremia Lactucae; Hyaloperonospora Parasitica; Fusarium head blight;
D O I
10.1109/metroagrifor.2019.8909246
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Precision agriculture is a farming system based on the combination of detailed observations, measuring and rapid response to optimize energetic input to maximize crops production. Precision agriculture use decision support system (DSS) for optimize farm management. In this context, EVJA Observe Prevent Improve (or just EVJA) is an Intelligent Support System for precision agriculture. A vast set of data (i.e. temperature, relative humidity, deficit of vapour pressure, leaf wetness, solar radiation, carbon dioxide concentration, soil moisture etc.) is continuously collected, submitted to a local control unit, and processed through algorithms specifically developed for different crops. On the other hands, farmers can access EVJA from their pc and mobile devices, and monitor complex agronomic data analysis presented in a user-friendly interface. In this proceedings, we will show how EVJA works, and how its output can be used to assess the health state of plants through a specific set of functions. Moreover, we will show the methodology to develop useful predictive models based on this information. Specifically, we will describe a predictive algorithms capable to predict the infection risks of downy mildew for baby leaves plantations and for Fusarium car blight of wheat.
引用
收藏
页码:227 / 230
页数:4
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