Soil Water Status Monitoring System with Proximal Low-Cost Sensors and LoRa Technology for Smart Water Irrigation in Woody Crops

被引:0
作者
Dafonte, Jorge [1 ]
Gonzalez, Miguel angel [2 ]
Comesana, Enrique [3 ]
Teijeiro, Maria Teresa [1 ]
Cancela, Javier J. [1 ]
机构
[1] Univ Santiago de Compostela, Higher Polytech Sch Engn, PROEPLA, Campus Terra, Lugo 27002, Spain
[2] Univ Santiago de Compostela, Higher Polytech Sch Engn, BioMODEM, Campus Terra, Lugo 27002, Spain
[3] Univ Santiago de Compostela, Higher Polytech Sch Engn, Dept Elect & Comp, Campus Terra, Lugo 27002, Spain
关键词
agricultural water management; soil moisture; ESP32; LoRa; smart agriculture; Arduino IDE; AGRICULTURE; FUTURE;
D O I
10.3390/s24248104
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platforms and technologies. For irrigation management in an experimental vineyard located in Quiroga (Lugo, Spain), we faced the challenge of installing a low-cost environmental and soil parameter monitoring station composed of several nodes measuring air temperature and relative humidity, soil temperature, soil matric potential, and soil water content. Commercial solutions were either too expensive or did not meet our needs. This challenge led us to design the low-cost sensor system that fulfilled our requirements. This node is based on the ESP32 chip, and communication between the nodes and the gateway is carried out by LoRa technology. The gateway is also based on the ESP32 chip. The gateway uploads the data to an FTP server using a Wi-Fi connection with a 4G router while simultaneously storing the data on a memory card. The programming of the code for the nodes and the gateway is performed using the Arduino IDE. The equipment developed is proven to be effective and for managing vineyard irrigation based on the built-in sensors, with replicable results. It is, however, essential to calibrate the capacitive sensors for measuring soil water content in each soil type in order to enhance their ability to produce reliable results. In addition, the limits marking the beginning and end of irrigation tasks must be adjusted to local conditions and according to the producer's specific vineyard objectives.
引用
收藏
页数:14
相关论文
共 28 条
[1]   Toward Optimal Irrigation Management at the Plot Level: Evaluation of Commercial Water Potential Sensors [J].
Aldaz-Lusarreta, Alaitz ;
Campo-Bescos, Miguel angel ;
Virto, Inigo ;
Gimenez, Rafael ;
Baghdadi, Nicolas ;
Lee, Wonsuk .
SENSORS, 2023, 23 (22)
[2]   Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls [J].
Andrey Rivas-Sanchez, Yair ;
Fatima Moreno-Perez, Maria ;
Roldan-Canas, Jose .
SUSTAINABILITY, 2019, 11 (03)
[3]  
[Anonymous], 2017, ETSI EN 300 220-2 V3.1.1
[4]   Smart Agricultural System Using Proximal Sensing, Artificial Intelligence, and LoRa Technology: A Case Study in Vineyard Management [J].
Araujo, Sara Oleiro ;
Silva Peres, Ricardo ;
Bischof Pian, Livia ;
Lidon, Fernando ;
Cochicho Ramalho, Jose ;
Barata, Jose .
IEEE ACCESS, 2024, 12 :181052-181070
[5]   Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk [J].
Ayaz, Muhammad ;
Ammad-Uddin, Mohammad ;
Sharif, Zubair ;
Mansour, Ali ;
Aggoune, El-Hadi M. .
IEEE ACCESS, 2019, 7 :129551-129583
[6]  
Bellvert J., 2024, Acta Horticulturae, P135, DOI [10.17660/actahortic.2024.1409.19, 10.17660/ActaHortic.2024.1409.19]
[7]  
Campo-Bescs M.A., 2020, P 22 EGU GEN ASS
[8]   Adaptation of a Traditional Irrigation System of Micro-Plots to Smart Agri Development: A Case Study in Murcia (Spain) [J].
Chazarra-Zapata, Jesus ;
Parras-Burgos, Dolores ;
Arteaga, Carlos ;
Ruiz-Canales, Antonio ;
Molina-Martinez, Jose Miguel .
AGRONOMY-BASEL, 2020, 10 (09)
[9]   Effect of multifunctional irrigation on grape quality: a case study in Northern Italy [J].
Davide, Bianchi ;
Martino, Bolognini ;
Lucio, Brancadoro ;
Sara, Cazzaniga ;
Daniele, Ferrari ;
Daniele, Masseroni ;
Davide, Modina ;
Bianca, Ortuani ;
Carola, Pozzoli ;
Claudio, Gandolfi .
IRRIGATION SCIENCE, 2023, 41 (04) :521-542
[10]  
Fandio M., 2022, P 4 JORN GRUP VIT AC, P437