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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by The DBLP Computer Science Bibliography, Conference Proceedings Citation Index, Engineering Index (EI), SCOPUS, Semantic Scholar, Google Scholar and Microsoft Academic.


SPECIAL SESSIONS LIST

WSN4PA 2020Special Session on Wireless Sensor Networks for Precise Agriculture
Chair(s): Luca Maiolo and Davide Polese

Special Session on Wireless Sensor Networks for Precise Agriculture - WSN4PA 2020

Paper Submission: December 27, 2019 (expired)
Authors Notification: January 9, 2020 (expired)
Camera Ready and Registration: January 17, 2020 (expired)


Co-chairs

Luca Maiolo
Istituto per la Microelettronica e Microsistemi, Consiglio Nazionale delle Ricerche
Italy
e-mail
 
Davide Polese
Istituto per la Microelettronica e Microsistemi
Italy
e-mail
 
Scope

The continuous monitoring and responding to the variability in within-field crops is a key requirement in modern agriculture also called Precise Agriculture. Wireless Sensor Network make available a tool for the pervasive monitoring of the condition of the crop measuring characteristics such as: air quality, nutrients, irradiation, chemical pollutant, soil humidity and so on. Nevertheless, the effect of the atmospheric agents, the crop treatments, the long-term operation in large field make the implementation of the sensor network challenging.


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