UAV-Based Agricultural Monitoring and Data Acquisition System for Precision Farming

被引:0
|
作者
Castineira, S. [1 ]
Delwar, T. [1 ]
Duran, R. [1 ]
Pala, N. [1 ]
机构
[1] Florida Int Univ, Dept Elect & Comp Engn, 10555 W Flagler St, Miami, FL 33174 USA
关键词
Soil Sensor; Precision Agriculture; Unmanned Aerial Vehicle;
D O I
10.1117/12.2587914
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
We report on an Unmanned Aerial Vehicle (UAV) agricultural data acquisition system to substantially improve how farming is currently practiced. The demonstrated innovative platform simplifies data acquisition with high spatial and temporal resolution and high accuracy with affordable cost and hence accessible for wider communities. Our goal was to create a product capable of analyzing multiple crucial soil parameters via one unit and transfer the accumulated preprocessed data to an airborne mobile subsystem. The system consists of two modules working in harmony. The Soil Data Monitoring Probe (SDMP) is a stationary unit housing various soil probes, whereas the Airborne Data Acquisition System (ADAS) is a mobile unit that can be placed on a UAV. The SDMP captures soil metrics, preprocesses them and stores the data to an SD card, to be delivered using a NRF24 transceiver. The unit itself is battery and solar-powered, regulated power is fed through a custom-designed motherboard to the Arduino mega microcontroller (ATMEGA-2560), and internal/external modules. We estimated that, with its low-power design and the complementary solar power, it can work months without interruption. The ADAS is lightweight and was mounted on a drone. It initiates data collection by interrogating sleeping SDMP' s based on geolocation stamps by waking them up from deep sleep mode with an interrupt. The ADAS is supported by a custom motherboard to support a raspberry pi zero with Wi-Fi capabilities. We demonstrated the operational prototype system with 2-meter spatial resolution.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A precision adjustable trajectory planning scheme for UAV-based data collection in IoTs
    Wang, Zuyan
    Tao, Jun
    Gao, Yang
    Xu, Yifan
    Sun, Weice
    Li, Xiaoyan
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (02) : 655 - 671
  • [22] Trajectory Design for UAV-Based Data Collection Using Clustering Model in Smart Farming
    Qayyum, Tariq
    Trabelsi, Zouheir
    Malik, Asad
    Hayawi, Kadhim
    SENSORS, 2022, 22 (01)
  • [23] An integrated UAV system for wildfire evolution monitoring and data acquisition
    Heracleous, Constantinos
    Kolios, Panayiotis
    Panayiotou, Christos G.
    2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2022, : 1131 - 1138
  • [24] A Consumer UAV-based Air Quality Monitoring System for Smart Cities
    Gu, Qijun
    Jia, Chunrong
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2019,
  • [25] Assessing Forest Fire Dynamics in UAV-Based Tactical Monitoring System
    Sherstjuk, Volodymyr
    Zharikova, Maryna
    Dorovskaja, Irina
    Sheketa, Vasyl
    LECTURE NOTES IN COMPUTATIONAL INTELLIGENCE AND DECISION MAKING (ISDMCI 2020), 2020, 1246 : 285 - 301
  • [26] Design and Implementation of a Remote UAV-based Mobile Health Monitoring System
    Li, Songwei
    Wan, Yan
    Fu, Shengli
    Liu, Mushuang
    Wu, H. Felix
    NONDESTRUCTIVE CHARACTERIZATION AND MONITORING OF ADVANCED MATERIALS, AEROSPACE, AND CIVIL INFRASTRUCTURE 2017, 2017, 10169
  • [27] Application and challenges of UAV-based technology in precision forestry
    Liu J.
    Wang H.
    He Y.
    Wang M.
    Li G.
    Yu D.
    Zhao P.
    Feng Z.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2024, 40 (05): : 14 - 24
  • [28] Joint Optimization on Trajectory, Data Relay, and Wireless Power Transfer in UAV-Based Environmental Monitoring System
    Lee, Jaewook
    Ko, Haneul
    ELECTRONICS, 2024, 13 (05)
  • [29] UAV-based studies in railway infrastructure monitoring
    Aela, Peyman
    Chi, Hung-Lin
    Fares, Ali
    Zayed, Tarek
    Kim, Minkoo
    AUTOMATION IN CONSTRUCTION, 2024, 167
  • [30] Data-driven vermiculite distribution modelling for UAV-based precision pest management
    Ma, Na
    Mantri, Anil
    Bough, Graham
    Patnaik, Ayush
    Yadav, Siddhesh
    Nansen, Christian
    Kong, Zhaodan
    FRONTIERS IN ROBOTICS AND AI, 2022, 9