Towards Affordable Precision Irrigation: An Experimental Comparison of Weather-Based and Soil Water Potential-Based Irrigation Using Low-Cost IoT-Tensiometers on Drip Irrigated Lettuce
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- Kassaye, Kassu Tadesse & Boulange, Julien & Lam, Van Thinh & Saito, Hirotaka & Watanabe, Hirozumi, 2020. "Monitoring soil water content for decision supporting in agricultural water management based on critical threshold values adopted for Andosol in the temperate monsoon climate," Agricultural Water Management, Elsevier, vol. 229(C).
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- Yang, Yang & Cui, Yuanlai & Bai, Kaihua & Luo, Tongyuan & Dai, Junfeng & Wang, Weiguang & Luo, Yufeng, 2019. "Short-term forecasting of daily reference evapotranspiration using the reduced-set Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 211(C), pages 70-80.
- García-Tejera, Omar & López-Bernal, Álvaro & Orgaz, Francisco & Testi, Luca & Villalobos, Francisco J., 2021. "The pitfalls of water potential for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 243(C).
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- França, Ana Carolina Ferreira & Coelho, Rubens Duarte & da Silva Gundim, Alice & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto, 2024. "Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties," Agricultural Water Management, Elsevier, vol. 293(C).
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Keywords
precision irrigation; agriculture water management; water productivity; IoT Irrigation; ESP32; sensors;All these keywords.
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