Sergio Trilles Oliver
ABSTRACT
During the last decade, a massive deployment of sensing devices using the Internet protocol to transfer data, called the Internet of Things, has penetrated considerably in all areas; the field of agriculture is not an exception. This fact has led to a new concept called "smart agriculture", and it contemplates activities such as field monitoring, which offer support to make decisions or perform actions, such as irrigation or fertilization. In this scenario, the current work shows a full Internet of Things environment to monitor and predict some vineyard diseases to help farmers to improve the product quality and reduce losses in vineyard fields. Different nodes have been deployed in some vineyard parcels located in the province of Castelló (Spain).
- 2010. 12 - Precision Viticulture: managing vineyard variability for improved quality outcomes. In Managing Wine Quality, Andrew G. Reynolds (Ed.). Woodhead Publishing, 445 -- 480.Google Scholar
- Nikos Alexandratos, Jelle Bruinsma, et al. 2012. World agriculture towards 2030/2050: the 2012 revision. Technical Report. ESA Working paper.Google Scholar
- Giuseppe Anastasi, Orazio Farruggia, G Lo Re, and Michele Ortolani. 2009. Monitoring high-quality wine production using wireless sensor networks. In System Sciences, 2009. HICSS'09. 42nd Hawaii International Conference on. IEEE, 1--7. Google ScholarDigital Library
- Richard Beckwith, Dan Teibel, and Pat Bowen. 2004. Report from the field: results from an agricultural wireless sensor network. In Local Computer Networks, 2004. 29th Annual IEEE International Conference on. IEEE, 471--478. Google ScholarDigital Library
- JC Broome, JT English, JJ Marois, BA Latorre, and JC Aviles. 1995. Development of an infection model for Botrytis bunch rot of grapes based on wetness duration and temperature. Phytopathology 85, 1 (1995), 97--102.Google ScholarCross Ref
- Jenna Burrell, Tim Brooke, and Richard Beckwith. 2004. Vineyard computing: Sensor networks in agricultural production. Pervasive Computing, IEEE 3, 1 (2004), 38--45. Google ScholarDigital Library
- JE Carroll and WF Wilcox. 2003. Effects of humidity on the development of grapevine powdery mildew. Phytopathology 93, 9 (2003), 1137--1144.Google ScholarCross Ref
- Gabriele Goidànich. 1964. Manuale di patologia vegetale. Vol. 2. Edagricole, Bologna.Google Scholar
- Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 7 (2013), 1645--1660. Google ScholarDigital Library
- D INFSO. 2008. Networked Enterprise & RFID INFSO G. 2 Micro & Nanosystems, in co-operation with the Working Group RFID of the ETP EPOSS, Internet of Things in 2020, Roadmap for the Future {R}. Information Society and Media, Tech. Rep (2008).Google Scholar
- Jaime Lloret, Ignacio Bosch, Sandra Sendra, and Arturo Serrano. 2011. A wireless sensor network for vineyard monitoring that uses image processing. Sensors 11, 6 (2011), 6165--6196.Google ScholarCross Ref
- Junyan Ma, Xingshe Zhou, Shining Li, and Zhigang Li. 2011. Connecting agriculture to the Internet of Things through sensor networks. In Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing. IEEE, 184--187. Google ScholarDigital Library
- Alex McBratney, Brett Whelan, Tihomir Ancev, and Johan Bouma. 2005. Future directions of precision agriculture. Precision Agriculture 6, 1 (2005), 7--23.Google ScholarCross Ref
- Daniel Molitor and Beate Berkelmann-Loehnertz. 2011. Simulating the susceptibility of clusters to grape black rot infections depending on their phenological development. Crop Protection 30, 12 (2011), 1649--1654.Google ScholarCross Ref
- Fan TongKe. 2013. Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology 8, 2 (2013).Google Scholar
- Sergio Trilles, Alejandro Luján, Óscar Belmonte, Raúl Montoliu, Joaquín Torres-Sospedra, and Joaquín Huerta. 2015. SEnviro: A Sensorized Platform Proposal Using Open Hardware and Open Standards. Sensors 15, 3 (2015), 5555--5582.Google ScholarCross Ref
- Sergio Trilles, Êscar Belmonte, Sven Schade, and JoaquÃňn Huerta. 2017. A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data. International Journal of Digital Earth 10, 1 (2017), 103--120.Google ScholarCross Ref
- Dieter Uckelmann, Mark Harrison, and Florian Michahelles. 2011. An architectural approach towards the future internet of things. Springer. Google ScholarDigital Library
- Stelios Zachariadis and Theodore H Kaskalis. 2012. An Embedded System for Smart Vineyard Agriculture.Google Scholar
Index Terms
- An IoT proposal for monitoring vineyards called SEnviro for agriculture
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