Results 141 to 150 of about 2,367 (204)

A new vector-based framework combining AquaCrop, CROPWAT, WEAP, and multi-objective programming for optimizing crop allocation under water scarcity. [PDF]

Sci Rep
Mousavi M, Karimi M, Pilehforooshha P, Ahmadlou M, Farhadi-Bansouleh B.   +4 more
europepmc   +1 more source

A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning. [PDF]

Plants (Basel), 2022
Batool D, Shahbaz M, Shahzad Asif H, Shaukat K, Alam TM, Hameed IA, Ramzan Z, Waheed A, Aljuaid H, Luo S.   +9 more
europepmc   +1 more source

Modeling the impacts of climate-smart practices on soil-water interaction and wheat yield under climate change in central Ethiopia. [PDF]

Sci Rep
Biratu AA, Bedadi B, Gebrehiwot SG, Ademe F, Hordofa T, Asmamaw DK, Abera W, Adimassu Z, Demessie SF, Tamene L, Melesse AM.   +10 more
europepmc   +1 more source

Optimization of water and land allocation in salinity and deficit- irrigation conditions at farm level in Qazvin plain. [PDF]

PLoS One, 2022
Bulukazari S, Babazadeh H, Ebrahimipak N, Mousavi-Jahromi SH, Ramezani Etedali H.   +4 more
europepmc   +1 more source

Optimizing irrigation scheduling for winter wheat using the AquaCrop model in Xinjiang, China. [PDF]

Front Plant Sci
Fu Q, Liu X, Hong M, Ai P, Ma L, Zhao J, Wang Q.   +6 more
europepmc   +1 more source

Application of UAV Remote Sensing in Monitoring Water Use Efficiency and Biomass of Cotton Plants Adjacent to Shelterbelt. [PDF]

Front Plant Sci, 2022
Ma B, Wang Q, Xue B, Hou Z, Jiang Y, Cai W.   +5 more
europepmc   +1 more source

Evaluation of cotton production sustainability and water footprints in the oasis area of southern Xinjiang under climate change. [PDF]

Front Plant Sci
Wang H, Jiang F, Wang X.
europepmc   +1 more source

Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop. [PDF]

Front Plant Sci
Zhang H, Zhao J, Hong M, Ma L.
europepmc   +1 more source

Characterization and outlook of climatic hazards in an agricultural area of Pakistan. [PDF]

Sci Rep, 2023
Bhatti MT, Anwar AA, Hussain K.
europepmc   +1 more source

Coupling the Richards Equation with AquaCrop and Deep Reinforcement Learning for Irrigation Scheduling Optimization

Crop modeling is essential for agricultural water management but often relies on simplified water balance routines that limit its ability to represent complex soil moisture dynamics.
Panthi, Krishna
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