Implementation of a low-cost crop detection prototype for selective spraying in greenhouses

被引:8
|
作者
Paez, Francisco C. [1 ]
Rincon, Victor J. [2 ]
Sanchez-Hermosilla, Julian [2 ]
Fernandez, Milagros [1 ]
机构
[1] Inst Invest & Formac Agr & Pesquera Junta Andaluc, Camino San Nicolas S-N, La Mojonera 04745, Almeria, Spain
[2] Univ Almeria, Dept Ingn, Ctra Sacramento S-N, La Canada De San Urbano, Almeria, Spain
关键词
Selective spraying; Greenhouse; Pesticide application; Ultrasound detection system; VINEYARD; ORCHARDS; EXPOSURE; SENSORS; DENSITY; VOLUME; LASER;
D O I
10.1007/s11119-017-9522-9
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
During phytosanitary treatments aimed at minimizing product losses, selective spraying systems can be employed. These systems consist of a group of detection-action devices which manage the spraying. In this work, the technical feasibility of a low-cost ultrasound detection system prototype has been assessed for pesticide spray application on greenhouse crops. The prototype is based on a commercially-available car parking assistance system, which has been modified to amplify the signal and activate an electro-valve for spray control. This system was fitted into a self-propelled machine with two vertical spray booms. A laboratory test was carried out to evaluate the system limitations (detection range, response time, optimal sensor location); and once the feasibility of the system was known, a field test was conducted. Inside the greenhouse, the same parameters were determined for canopy presence. The system's capacity to start and stop spraying at the beginnings and ends of the crop lines was also analysed. In addition, the minimum crop line surface with no plant mass that triggers system activation was determined. The results show that the detection range was 0-0.4 m with an average response time of 1.67 s. Based on these parameters, the optimal sensor location was determined for the different forward velocities. In conclusion, the results show that this system is suitable for plant detection at a forward speed of 0.9 m s(-1), allowing growers to stop spraying automatically at the ends of the crop lines and where plant mass absence is greater than 1.0 lineal meter.
引用
收藏
页码:1011 / 1023
页数:13
相关论文
共 50 条
  • [21] The Feasibility of a Cloud-Based Low-Cost Environmental Monitoring System Via Open Source Hardware in Greenhouses
    Cayli, Ali
    Akyuz, Adil
    Baytorun, A. Nafi
    Ustun, Sait
    Mercanli, Ali Selcuk
    KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE, 2018, 21 (03): : 323 - 338
  • [22] A low-cost microcontroller-based system to monitor crop temperature and water status
    Fisher, Daniel K.
    Kebede, Hirut
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 74 (01) : 168 - 173
  • [23] Design and Implementation of a Low-Cost Mechatronic Shoe for Biomechanical Analysis of the Human Locomotion
    Boscariol, P.
    Gasparetto, A.
    Giovanelli, N.
    Lazzer, S.
    Scalera, L.
    ADVANCES IN ITALIAN MECHANISM SCIENCE, 2017, 47 : 3 - 10
  • [24] Design and Implementation of Solar-Powered Low-Cost Model for Greenhouse System
    Suryawanshi, Shrivardhan
    Ramasamy, Sudha
    Umashankar, S.
    Sanjeevikumar, P.
    ADVANCES IN SMART GRID AND RENEWABLE ENERGY, 2018, 435 : 357 - 365
  • [25] A Highly Interpretable Framework for Generic Low-Cost UAV Attack Detection
    Wu, Shihao
    Li, Yang
    Wang, Zhaoxuan
    Tan, Zheng
    Pan, Quan
    IEEE SENSORS JOURNAL, 2023, 23 (07) : 7288 - 7300
  • [26] Low-Cost Multisensor Integrated System for Online Walking Gait Detection
    Yan, Lingyun
    Wei, Guowu
    Hu, Zheqi
    Xiu, Haohua
    Wei, Yuyang
    Ren, Lei
    JOURNAL OF SENSORS, 2021, 2021
  • [27] Low-cost Fiberoptic Probe for Ammonia Early Detection in Fish Farms
    Leal-Junior, Arnaldo G.
    Frizera, Anselmo
    Marques, Carlos
    REMOTE SENSING, 2020, 12 (09)
  • [28] Gait Anomaly Detection With Low-Cost and Low-Resolution Infrared Sensor Arrays
    Zorriassatine, Farbod
    Naser, Abdallah
    Lotfi, Ahmad
    IEEE SENSORS JOURNAL, 2024, 24 (20) : 33120 - 33130
  • [29] Low-Cost LIDAR-Based Monitoring System for Fall Detection
    Pineiro, Miguel
    Araya, David
    Ruete, David
    Taramasco, Carla
    IEEE ACCESS, 2024, 12 : 72051 - 72061
  • [30] A Novel Phase Loss Detection Method for Low-Cost Motor Drives
    Dianov, Anton
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2022, 37 (06) : 6660 - 6668