Results 131 to 140 of about 1,758 (211)

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

Calibration and Validation of AquaCrop Model for Tomato Crop Under Full and Deficit Irrigation [PDF]

This study reported herein was conducted at the Institute for Agricultural Research (IAR) irrigation site, Kadawa, Kano State, Nigeria during the 2016/17 and 2018/19 irrigation seasons (The 2017/18 trial failed due to emergency repairs that led to shut ...
Mudiare, O. J., Idris, U. D., Ramalan, A. A., Othman, M. K., Arab, A. I.   +4 more
core   +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

Regional water footprint assessment for a semi-arid basin in India. [PDF]

PeerJ, 2022
Mehla MK.
europepmc   +1 more source

Comparison of the machine learning and aquacrop models for quinoa crops

One of the main causes of low crop efficiency in Peru is poor management of water resources; that is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops through a comparison between the machine learning and Aquacrop models. For the development of this study, meteorological data from the province
Chumbe Llimpe, Rossy Jackeline, Silva Paucar, Stefany Dennis   +1 more
openaire   +1 more source