- -

DronAway: A Proposal on the Use of Remote Sensing Drones as Mobile Gateway for WSN in Precision Agriculture

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

DronAway: A Proposal on the Use of Remote Sensing Drones as Mobile Gateway for WSN in Precision Agriculture

Mostrar el registro completo del ítem

García, L.; Parra-Boronat, L.; Jimenez, JM.; Lloret, J.; Mauri, PV.; Lorenz, P. (2020). DronAway: A Proposal on the Use of Remote Sensing Drones as Mobile Gateway for WSN in Precision Agriculture. Applied Sciences. 10(19):1-23. https://doi.org/10.3390/app10196668

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166574

Ficheros en el ítem

Thumbnail
Nombre: García;Parra-Boro ...
Tamaño: 4.401Mb
Formato: PDF
Descripción: Versión editorial
Abrir/Preview

Metadatos del ítem

Título: DronAway: A Proposal on the Use of Remote Sensing Drones as Mobile Gateway for WSN in Precision Agriculture
Autor: García, Laura Parra-Boronat, Lorena Jimenez, Jose M. Lloret, Jaime Mauri, Pedro V. Lorenz, Pascal
Entidad UPV: Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Fecha difusión:
Resumen:
[EN] The increase in the world population has led to new needs for food. Precision Agriculture (PA) is one of the focuses of these policies to optimize the crops and facilitate crop management using technology. Drones have ...[+]
Palabras clave: Drone , Remote sensing , Sensor network , WiFi , Precision agriculture
Derechos de uso: Reconocimiento (by)
Fuente:
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app10196668
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/app10196668
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/609475/EU/EURO-MEDITERRANEAN Cooperation through ERANET joint activities and beyond/
info:eu-repo/grantAgreement/MAPAMA//PDR18-XEROCESPED/ES/Ensayos de mezclas de cespitosas más sostenibles para jardinería pública/
info:eu-repo/grantAgreement/EC//ERANETMED3-227 SMARTWATIR/EU/
info:eu-repo/grantAgreement/GVA//APOSTD%2F2019%2F047/
Agradecimientos:
This work is partially founded by the European Union with the "Fondo Europeo Agricola de Desarrollo Rural (FEADER)-Europa invierte en zonas rurales", the MAPAMA, and Comunidad de Madrid with the IMIDRA, under the mark of ...[+]
Tipo: Artículo

References

Agriculture and Rural Development Agriculture and Rural Development https://ec.europa.eu/agriculture/cap-post-2013/

Kropff, M. J., Wallinga, J., & Lotz, L. A. P. (2007). Modelling for Precision Weed Management. Ciba Foundation Symposium 210 - Precision Agriculture: Spatial and Temporal Variability of Environmental Quality, 182-207. doi:10.1002/9780470515419.ch12

Toth, C., & Jóźków, G. (2016). Remote sensing platforms and sensors: A survey. ISPRS Journal of Photogrammetry and Remote Sensing, 115, 22-36. doi:10.1016/j.isprsjprs.2015.10.004 [+]
Agriculture and Rural Development Agriculture and Rural Development https://ec.europa.eu/agriculture/cap-post-2013/

Kropff, M. J., Wallinga, J., & Lotz, L. A. P. (2007). Modelling for Precision Weed Management. Ciba Foundation Symposium 210 - Precision Agriculture: Spatial and Temporal Variability of Environmental Quality, 182-207. doi:10.1002/9780470515419.ch12

Toth, C., & Jóźków, G. (2016). Remote sensing platforms and sensors: A survey. ISPRS Journal of Photogrammetry and Remote Sensing, 115, 22-36. doi:10.1016/j.isprsjprs.2015.10.004

Pajares, G. (2015). Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs). Photogrammetric Engineering & Remote Sensing, 81(4), 281-330. doi:10.14358/pers.81.4.281

Maes, W. H., & Steppe, K. (2019). Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture. Trends in Plant Science, 24(2), 152-164. doi:10.1016/j.tplants.2018.11.007

Psirofonia, P., Samaritakis, V., Eliopoulos, P., & Potamitis, I. (2017). Use of Unmanned Aerial Vehicles for Agricultural Applications with Emphasis on Crop Protection: Three Novel Case - studies. International Journal of Agricultural Science and Technology, 5(1), 30-39. doi:10.12783/ijast.2017.0501.03

Agriculture Drones Market by Offering (Hardware and Software & Services), Application (Precision Farming, Livestock Monitoring, Precision Fish Farming, and Smart Greenhouse), Component, and Geography—Global Forecast to 2024 https://www.marketsandmarkets.com/Market-Reports/agriculture-drones-market-23709764.html?gclid=CjwKCAiA-P7xBRAvEiwAow-VaRPLzQ4x9YHOwUyC4e-PBfJvjpkB4Bqx9WWIt6S-lM0FsKvUcbqLdxoC_VcQAvD_BwE

Cunliffe, A. M., Brazier, R. E., & Anderson, K. (2016). Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry. Remote Sensing of Environment, 183, 129-143. doi:10.1016/j.rse.2016.05.019

Zhang, J., Hu, J., Lian, J., Fan, Z., Ouyang, X., & Ye, W. (2016). Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring. Biological Conservation, 198, 60-69. doi:10.1016/j.biocon.2016.03.027

Urbahs, A., & Jonaite, I. (2013). FEATURES OF THE USE OF UNMANNED AERIAL VEHICLES FOR AGRICULTURE APPLICATIONS. Aviation, 17(4), 170-175. doi:10.3846/16487788.2013.861224

Raeva, P. L., Šedina, J., & Dlesk, A. (2018). Monitoring of crop fields using multispectral and thermal imagery from UAV. European Journal of Remote Sensing, 52(sup1), 192-201. doi:10.1080/22797254.2018.1527661

Stehr, N. J. (2015). Drones: The Newest Technology for Precision Agriculture. Natural Sciences Education, 44(1), 89-91. doi:10.4195/nse2015.04.0772

Kurkute, S. R. (2018). Drones for Smart Agriculture: A Technical Report. International Journal for Research in Applied Science and Engineering Technology, 6(4), 341-346. doi:10.22214/ijraset.2018.4061

Puri, V., Nayyar, A., & Raja, L. (2017). Agriculture drones: A modern breakthrough in precision agriculture. Journal of Statistics and Management Systems, 20(4), 507-518. doi:10.1080/09720510.2017.1395171

Valente, J., Sanz, D., Barrientos, A., Cerro, J. del, Ribeiro, Á., & Rossi, C. (2011). An Air-Ground Wireless Sensor Network for Crop Monitoring. Sensors, 11(6), 6088-6108. doi:10.3390/s110606088

Hunt, E. R., & Daughtry, C. S. T. (2017). What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? International Journal of Remote Sensing, 39(15-16), 5345-5376. doi:10.1080/01431161.2017.1410300

Tsouros, D. C., Bibi, S., & Sarigiannidis, P. G. (2019). A Review on UAV-Based Applications for Precision Agriculture. Information, 10(11), 349. doi:10.3390/info10110349

Daponte, P., De Vito, L., Glielmo, L., Iannelli, L., Liuzza, D., Picariello, F., & Silano, G. (2019). A review on the use of drones for precision agriculture. IOP Conference Series: Earth and Environmental Science, 275, 012022. doi:10.1088/1755-1315/275/1/012022

Boehm, F., & Schulte, A. (2013). Air to ground sensor data distribution using IEEE802.11N Wi-Fi network. 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC). doi:10.1109/dasc.2013.6712581

Stek, T. D. (2016). Drones over Mediterranean landscapes. The potential of small UAV’s (drones) for site detection and heritage management in archaeological survey projects: A case study from Le Pianelle in the Tappino Valley, Molise (Italy). Journal of Cultural Heritage, 22, 1066-1071. doi:10.1016/j.culher.2016.06.006

Marín, J., Parra, L., Rocher, J., Sendra, S., Lloret, J., Mauri, P. V., & Masaguer, A. (2018). Urban Lawn Monitoring in Smart City Environments. Journal of Sensors, 2018, 1-16. doi:10.1155/2018/8743179

Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture, 118, 66-84. doi:10.1016/j.compag.2015.08.011

Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31-48. doi:10.1016/j.biosystemseng.2017.09.007

Aqeel-ur-Rehman, Abbasi, A. Z., Islam, N., & Shaikh, Z. A. (2014). A review of wireless sensors and networks’ applications in agriculture. Computer Standards & Interfaces, 36(2), 263-270. doi:10.1016/j.csi.2011.03.004

Ruiz-Garcia, L., Lunadei, L., Barreiro, P., & Robla, I. (2009). A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends. Sensors, 9(6), 4728-4750. doi:10.3390/s90604728

Srbinovska, M., Gavrovski, C., Dimcev, V., Krkoleva, A., & Borozan, V. (2015). Environmental parameters monitoring in precision agriculture using wireless sensor networks. Journal of Cleaner Production, 88, 297-307. doi:10.1016/j.jclepro.2014.04.036

Yu, X., Wu, P., Han, W., & Zhang, Z. (2013). A survey on wireless sensor network infrastructure for agriculture. Computer Standards & Interfaces, 35(1), 59-64. doi:10.1016/j.csi.2012.05.001

Chaudhary, D. D., Nayse, S. P., & Waghmare, L. M. (2011). Application of Wireless Sensor Networks for Greenhouse Parameter Control in Precision Agriculture. International Journal of Wireless & Mobile Networks, 3(1), 140-149. doi:10.5121/ijwmn.2011.3113

Díaz, S. E., Pérez, J. C., Mateos, A. C., Marinescu, M.-C., & Guerra, B. B. (2011). A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks. Computers and Electronics in Agriculture, 76(2), 252-265. doi:10.1016/j.compag.2011.02.004

Zhu, Y., Song, J., & Dong, F. (2011). Applications of wireless sensor network in the agriculture environment monitoring. Procedia Engineering, 16, 608-614. doi:10.1016/j.proeng.2011.08.1131

Keshtgari, M., & Deljoo, A. (2012). A Wireless Sensor Network Solution for Precision Agriculture Based on Zigbee Technology. Wireless Sensor Network, 04(01), 25-30. doi:10.4236/wsn.2012.41004

Hwang, J., Shin, C., & Yoe, H. (2010). Study on an Agricultural Environment Monitoring Server System using Wireless Sensor Networks. Sensors, 10(12), 11189-11211. doi:10.3390/s101211189

Garcia-Sanchez, A.-J., Garcia-Sanchez, F., & Garcia-Haro, J. (2011). Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops. Computers and Electronics in Agriculture, 75(2), 288-303. doi:10.1016/j.compag.2010.12.005

García, L., Parra, L., Jimenez, J. M., Lloret, J., & Lorenz, P. (2019). Practical Design of a WSN to Monitor the Crop and its Irrigation System. Network Protocols and Algorithms, 10(4), 35. doi:10.5296/npa.v10i4.14147

Popescu, D., Stoican, F., Stamatescu, G., Ichim, L., & Dragana, C. (2020). Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture. Sensors, 20(3), 817. doi:10.3390/s20030817

Specifications of the WEMOS MINI DI https://docs.wemos.cc/en/latest/d1/d1_mini.html

Specifications of the Node MCU https://joy-it.net/en/products/SBC-NodeMCU-ESP32

Specifications of the Arduino Mega https://store.arduino.cc/arduino-mega-2560-rev3

Specifications of the Arduino UNO https://store.arduino.cc/arduino-uno-rev3

Specifications of the Raspberry Pi Model B+ https://www.raspberrypi-spy.co.uk/2018/03/introducing-raspberry-pi-3-b-plus-computer/

Zorbas, D., Di Puglia Pugliese, L., Razafindralambo, T., & Guerriero, F. (2016). Optimal drone placement and cost-efficient target coverage. Journal of Network and Computer Applications, 75, 16-31. doi:10.1016/j.jnca.2016.08.009

Parra, L., Rocher, J., García, L., Lloret, J., Tomás, J., Romero, O., … Roig, B. (2018). Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms. Network Protocols and Algorithms, 10(2), 95. doi:10.5296/npa.v10i2.13205

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem