Leachate and irrigation sensor development and performance in container nursery production

被引:0
|
作者
Cypher Q. [1 ]
Fulcher A. [1 ]
Wright W.C. [2 ]
Sun X. [3 ]
Fessler L. [1 ]
机构
[1] Department of Plant Sciences, University of Tennessee, Knoxville, TN
[2] Department of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, TN
[3] Office of Information Technology, University of Tennessee, Knoxville, TN
来源
Applied Engineering in Agriculture | 2021年 / 37卷 / 01期
基金
美国食品与农业研究所;
关键词
Container effluent; Container-grown plants; Irrigation schedule; Leaching fraction; Sensor network;
D O I
10.13031/AEA.14080
中图分类号
学科分类号
摘要
Nursery crops are often over-irrigated, resulting in wasted water and agrochemical inputs. Irrigating based on leaching fraction is recommended, yet an automated system for measuring and recording nursery container effluent (leachate) does not exist. The objective of this research was to develop and test a sensor-based system for real-time leachate and irrigation measurement in outdoor commercial nurseries. Sensors were developed to automatically measure irrigation and leachate volume in container nurseries that use overhead irrigation with the goal of facilitating the development of an automated leaching fraction-based irrigation system. Sensors were built using readily available components, including tipping bucket mechanisms calibrated to either 4.7 or 8.2 mL per tip, and were designed and constructed to function with commonly used 3.8-, 11.4-, and 14.5-L nursery containers. Sensor networks were developed in order to collect data from the sensors. Sensors were deployed at three commercial nurseries and tested using closed- and open-loop tests. Initially, a closed-loop test was performed on a subset of the sensors to test the integrity of the sensor-container system when subjected to an overhead irrigation delivery system. Following closed-loop tests, sensors were subjected to tests utilizing directed applications of water to compare sensor measurements with the volume of water applied and to compare sensor measurements over time (pre- and post-season). There was no difference between leachate measured by sensors and leachate captured and measured manually in closed-loop tests (p = 0.0570). In directed applications, sensors measured water flow with less than 3% margin at the beginning of the season (p ≤ 0.0485) and less than 10% margin at the end of the season (p ≤ 0.0390) regardless of container size. Pre- and post-season comparisons showed equivalence at the 10% margin for the 4.7-mL tipping bucket size (p = 0.0043) and at 5% for those calibrated to 8.2 mL per tip (p = 0.0198). Sensors deployed in commercial nurseries accurately measured leachate and irrigation within a 10% margin in real-time, on an individual plant scale, making them a viable option for a leaching fraction-based irrigation schedule. © 2021 American Society of Agricultural and Biological Engineers.
引用
收藏
页码:65 / 75
页数:10
相关论文
共 6 条
  • [1] LEACHATE AND IRRIGATION SENSOR DEVELOPMENT AND PERFORMANCE IN CONTAINER NURSERY PRODUCTION
    Cypher, Q.
    Fulcher, A.
    Wright, W. C.
    Sun, X.
    Fessler, L.
    APPLIED ENGINEERING IN AGRICULTURE, 2021, 37 (01) : 65 - 75
  • [2] A closed-capture irrigation effluent system for monitoring large container leachate
    Bush, EW
    Gray, AL
    Wilson, PW
    Edling, RI
    HORTTECHNOLOGY, 2003, 13 (02) : 363 - 365
  • [3] Using sensor networks to maximize irrigation water use efficiency in strawberry production
    Belayneh, B. E.
    Lea-Cox, J. D.
    VIII INTERNATIONAL SYMPOSIUM ON IRRIGATION OF HORTICULTURAL CROPS, 2017, 1150 : 399 - 406
  • [4] Fabric Containers Increased Irrigation Demand but Decreased Leachate Loss of Nitrogen and Phosphorus Compared With Conventional Plastic Containers During Production of Dwarf Burford Holly
    Million, Jeff B.
    Yeager, Thomas H.
    HORTSCIENCE, 2022, 57 (07) : 743 - 749
  • [5] Yield, quality and profitability of sensor-controlled irrigation: a case study of snapdragon (Antirrhinum majus L.) production
    Monica Saavoss
    John Majsztrik
    Bruk Belayneh
    John Lea-Cox
    Erik Lichtenberg
    Irrigation Science, 2016, 34 : 409 - 420
  • [6] Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+Years of Ambient PM2.5 Monitoring in Accra, Ghana
    Raheja, Garima
    Nimo, James
    Appoh, Emmanuel K. -E.
    Essien, Benjamin
    Sunu, Maxwell
    Nyante, John
    Amegah, Mawuli
    Quansah, Reginald
    Arku, Raphael E.
    Penn, Stefani L.
    Giordano, Michael R.
    Zheng, Zhonghua
    Jack, Darby
    Chillrud, Steven
    Amegah, Kofi
    Subramanian, R.
    Pinder, Robert
    Appah-Sampong, Ebenezer
    Tetteh, Esi Nerquaye
    Borketey, Mathias A.
    Hughes, Allison Felix
    Westervelt, Daniel M.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2023, 57 (29) : 10708 - 10720