Results 111 to 120 of about 2,367 (204)

Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan

Agricultural Water Management
Cotton is a crucial fiber crop, but its conventional production methods are heavily water intensive. In regions where water availability already limits cotton yields, there is a growing need to explore alternative field management practices that ...
Julien Boulange, Sherzod Nizamov, Aziz Nurbekov, Musulmon Ziyatov, Bakhtiyor Kamilov, Sirojiddin Nizamov, Abduaziz Abduvasikov, Gulnoza Khamdamova, Hirozumi Watanabe   +8 more
doaj   +1 more source

Comparing crop growth models across the contiguous USA with a focus on dry and warm spells

Agricultural Water Management
Efficient water use and sustainable crop production are vital for ensuring both food and water security amidst the growing global population and changing climate.
Sneha Chevuru, Gambhir Lamsal, L.P.H. (Rens) van Beek, Michelle T.H. van Vliet, Landon Marston, Marc F.P. Bierkens   +5 more
doaj   +1 more source

شبیه‌سازی عملکرد سیب‌زمینی (Solanum tuberosum L.) تحت شرایط آبیاری با استفاده از دو مدل AquaCrop و Cropsyst [PDF]

Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī, 2019
به‌منظور ارزیابی دو مدل AquaCrop و Cropsyst در شبیه‌سازی عملکرد و کارآیی مصرف آب سیب‌زمینی، تحقیق حاضر در یک مزرعه تحقیقاتی در چهارتخته شهرکرد در دو سال زراعی با استفاده از دو تیمار مقدار تنش آبی در پنج سطح (E0، E1، E2، E3 و E4 به­ترتیب نشان‌دهنده‌ی 100،
محمدعلی انصاری, اصلان اگدرنژاد, نیازعلی ابراهیمی پاک   +2 more
doaj  

Soil Water Balance and Water Use Efficiency of Rain-fed Maize under a Cool Temperate Climate as Modeled by the AquaCrop

MATEC Web of Conferences, 2018
The AquaCrop model has been widely studied and examined for its feasibility and applic ability in simulating the crop growth – water relationship under tropical and warm temperate. How ever, the model is rarely tested under cool temperate climates.
Wang Weimin, Dong Xue, Lu Yanyun, Liu Xunliang, Zhang Ruining, Li Meng, Tian Linjing, Ding Yue, Pu Xiao   +8 more
doaj   +1 more source

Future Impact of Climate Change on Durum Wheat Growth and Productivity in Northern Tunisia

Agronomy
This study evaluates the projected impact of climate change on wheat production in Northwest Tunisia, specifically at Medjez El Beb (36.67 m, 9.74°) and Slougia (36.66 m, 9.6°), for the period 2041–2070. Using the CNRM-CM5.1 and GFDL-ESM2M climate models
Mohamed Nejib El Melki, Imen Soussi, Jameel Mohammed Al-Khayri, Othman M. Al-Dossary, Bader Alsubaie, Slaheddine Khlifi   +5 more
doaj   +1 more source

Greenhouse irrigation scheduling under sensing disturbances via deep reinforcement learning and AquaCrop

Smart Agricultural Technology
Greenhouse irrigation decision-making is challenged by partial observability and uncertainties in environmental sensing. We develop an AquaCrop-based deep reinforcement learning framework integrating a history-stacked long short-term memory proximal ...
Yang Xu, Qingzhi Liu, Zhu Sun, Wei Gu, Xinyu Xue, Yongkui Jin   +5 more
doaj   +1 more source

Evaluation and improvement of crop root-water-uptake and transpiration in AquaCrop

Agricultural Water Management
The AquaCrop model has been extensively utilized to simulate the growth and yield of various crops across diverse environments, with transpiration-driven water consumption serving as a critical variable.
Ting Zhang, Qiang Zuo, Jianchu Shi, Yuchuan Fan, Sumei Zhang, Xun Wu, Alon Ben-Gal   +6 more
doaj   +1 more source

Assessing Net Irrigation Needs in Maize–Wheat Rotation Farmlands on the North China Plain: Implications for Future Climate Scenarios

Agronomy
Assessment of agricultural water requirements under future climate projections has received increasing attention in recent decades. The agriculture pattern of the semi-arid North China Plain is a maize–wheat rotation system in which sufficient irrigation
Yujin Wu, Pei Leng, Chao Ren
doaj   +1 more source

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

, 2017
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter ...
Luis Giménez, Paula Paredes, Giménez, Luis, Paredes, Paula, Pereira, L.S., Luis S. Pereira   +5 more
core   +1 more source

Assessment of soil mulching field management, and deficit irrigation effect on productivity of watermelon varieties, and AquaCrop model validation. [PDF]

Heliyon, 2023
Gebeyhu B, Markos G.
europepmc   +1 more source