QIrriga: a mobile application for climate-based irrigation management

被引:0
|
作者
dos Santos, Marcelo Rocha [1 ]
da Silveira, Bernardo Costa [2 ]
Sepulveda Neto, Clemente da Silva [3 ]
Pereira, Lourivaldo Barreto [2 ]
Santos Ferreira, Naidson Clayr [1 ]
机构
[1] Inst Fed Baiano, IF Baiano, Campus Guanambi, Guanambi, BA, Brazil
[2] IF Baiano, Plant Prod Semiarid, Campus Guabambi, Guanambi, BA, Brazil
[3] IF Baiano, Syst Anal & Dev, Campus Guabambi, Guanambi, BA, Brazil
来源
SEMINA-CIENCIAS AGRARIAS | 2023年 / 44卷 / 05期
关键词
Irrigated agriculture; Water use efficiency; Irrigation systems;
D O I
10.5433/1679-0359.2023v44n5p1789
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Overuse of water is evolving into an unsustainable practice, giving rise to various problems. The use of technologies that facilitate the calculation of the actual demand for water resources in irrigated agriculture is of paramount importance for both productive and environmental sustainability. The aim of this study was to develop a computer application for irrigation management based on climate information for sprinkler and localized irrigation systems. QIrriga was developed in the Java programming language using Android Studio, which is an integrated development environment, and can be used to obtain the irrigation time for micro-sprinkler, drip, and conventional sprinkler irrigation systems, as well as the per centimeter value for center pivot irrigation. These values are determined by inputting location, weather, irrigation system, and crop data, thereby facilitating users in achieving efficient and sustainable irrigation management. The application also has a user-friendly interface. To validate the process and use of the app, the results generated by the app were compared with the values calculated using equations from the literature; it was found that both methods yielded consistent values. QIrriga is indicated for irrigation management.
引用
收藏
页码:1789 / 1804
页数:16
相关论文
共 50 条
  • [1] DEVELOPING A CLIMATE-BASED RECREATION MANAGEMENT SYSTEM FOR A MEDITERRANEAN ISLAND
    Olya, Hossein G. T.
    Alipotna, Habib
    FRESENIUS ENVIRONMENTAL BULLETIN, 2015, 24 (11C): : 4125 - 4141
  • [2] Mobile Application Project for Conilon Coffee Irrigation Management
    Loss Lopes, Luis Carlos
    Vieira, Henrique Duarte
    Souza Vieira, Gustavo Haddad
    de Souza, Elias Fernandes
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2021, 147 (07)
  • [3] Climate-based agricultural risk management tools for florida, Georgia and alabama, USA
    Hoogenboom, G.
    Fraisse, C. W.
    Jones, J. W.
    Ingram, K. T.
    O'Brien, J. J.
    Bellow, J. G.
    Zierden, D.
    Stooksbury, D. E.
    Paz, J.
    Garcia, A. Y. Garcia
    Guerra, L. C.
    Breuer, N. E.
    Cabrera, V. E.
    Hatch, L. U.
    Roncoli, C.
    Climate Prediction and Agriculture: Advances and Challenges, 2007, : 273 - 278
  • [4] Accuracy of climate-based forecasts of pathogen spread
    Schatz, Annakate M.
    Kramer, Andrew M.
    Drake, John M.
    ROYAL SOCIETY OPEN SCIENCE, 2017, 4 (03):
  • [5] Climate-based measures of supply chain resilience
    Tack, Jesse B.
    Ala-Kokko, Kristiina
    Gardner, Grant E.
    Breneman, Vincent
    Arita, Shawn
    Cooper, Joseph
    AGRICULTURAL FINANCE REVIEW, 2025,
  • [6] Climate-Based Representations of Summer Rainfall in Illinois
    Changnon, Stanley A., Jr.
    JOURNAL OF CLIMATE, 1988, 1 (10) : 1041 - 1046
  • [7] Opinion: Climate-based daylighting modelling in practice
    Littlefair, Paul
    LIGHTING RESEARCH & TECHNOLOGY, 2015, 47 (05) : 512 - 512
  • [8] Climate-based analysis of martian surface morphology
    Hargitai, H. I.
    Kereszturi, A.
    Berczi, Sz.
    Gucsik, A.
    Nagy, Sz.
    METEORITICS & PLANETARY SCIENCE, 2008, 43 (07) : A52 - A52
  • [9] Climate-Based AI-Powered Precision Irrigation: Sustainably Smart Agriculture Frameworks for Maximum Crop Yields
    Jyoti A. Dhanke
    Diksha Srivastava
    D. Menaga
    Roop Raj
    Kambala Vijaya Kumar
    Pradeep Jangir
    P. Mani
    Remote Sensing in Earth Systems Sciences, 2025, 8 (1) : 161 - 172
  • [10] Irrigation Management for Potato Crops Based on Climate Variability: Application in Irrigation District 075, Fuerte River, Sinaloa, Mexico
    Sifuentes, Ernesto
    Macias, Jaime
    Ojeda, Waldo
    Gonzalez, Vctor M.
    Salinas, Daniel A.
    Quintana, Jose G.
    TECNOLOGIA Y CIENCIAS DEL AGUA, 2016, 7 (02) : 149 - 168