Results 161 to 170 of about 2,367 (204)

Intelligent irrigation management system for arid and semi-arid regions under climate change. [PDF]

Sci Rep
Emami S, Dehghanisanij H, Emami H.
europepmc   +1 more source

Machine learning insights for sustainable hydroponic cultivation and growth monitoring of allium cepa using smart hydro kit. [PDF]

Sci Rep
Dutta M, Gupta D, Juneja S, AlNadhari S, Belhaouari SB.   +4 more
europepmc   +1 more source

Modeling the response of sesame (Sesamum indicum L.) to different soil fertility levels under rain-fed conditions in the semi-arid areas of western Tigray, Ethiopia. [PDF]

Heliyon
Berhane A, Abrha B, Worku W, Hadgu G.
europepmc   +1 more source

AquaCrop and ICT to improve irrigation efficiencies

, 2018
Wellens, Joost, Wahbi, Amar, Tychon, Bernard, Dercon, Gerd, Heng, Lee   +4 more
openaire   +1 more source

Modelling the impact of different irrigation regimes and mulching on strawberry crop growth and water use in the arsenic-contaminated Bengal basin. [PDF]

Sci Rep
Biswas B, Ghosh T, Chakraborty D, Banerjee S, Mandal BN, Saha S.   +5 more
europepmc   +1 more source

Optimizing Irrigation Efficiency Through Aquacrop Modelling

International Research Journal of Modernization in Engineering Technology & Science
openaire   +1 more source

Evaluation of Aquacrop model for potato crop in semiarid region

International Journal of Horticulture and Food Science
AA Bhandare, DD Khedkar, SK Ghodke, NJ Danawale, MS Mane, VS Patil   +5 more
openaire   +1 more source

AquaData and AquaGIS: Two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop [PDF]

Computers and Electronics in Agriculture, 2013
The crop simulation model AquaCrop, recently developed by FAO can be used for a wide range of purposes. However, in its present form, its use over large areas or for applications that require a large number of simulations runs (e.g., long-term analysis),
Margarita García Vila, Cristina Santos, I J Lorite   +2 more
exaly   +2 more sources

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Deficit Irrigation Optimization of Cotton with AquaCrop

Agronomy Journal, 2009
Given the current pressures to reduce irrigation water use, it is important to optimize the use of water in irrigated agriculture. This work was aimed at determining the optimum level of applied irrigation water (AIW) for cotton (Gossypium hirsutum L.) production in southern Spain under several climatic and agricultural policy scenarios.
M. García‐Vila, E. Fereres, L. Mateos, F. Orgaz, P. Steduto   +4 more
openaire   +1 more source

AquaCrop: FAO's crop water productivity and yield response model

Environmental Modelling and Software, 2014
With the help of relatively few conservative crop parameters, AquaCrop simulates final crop yield in four steps that are easy to understand, which makes the modeling approach transparent. The steps consist in the simulation of development of the green crop canopy cover, crop transpiration, above-ground biomass, and final crop yield.
Eline Vanuytrecht, Dirk Raes, Pasquale Steduto   +2 more
exaly   +3 more sources