Results 231 to 240 of about 616,279 (283)

Linking remote sensing with crop modeling for yield and nitrate leaching predictions in Minnesota. [PDF]

J Environ Qual
Tahir M, Mulla DJ.
europepmc   +1 more source

Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data. [PDF]

Front Plant Sci
Fu W, Hou X, Wang D, Chen Z, Cheng Q, Li Y, Duan F.   +6 more
europepmc   +1 more source

A harmonised gridded input dataset for simulation modelling of the major crops of South Asia. [PDF]

Data Brief
Shirsath PB, Gangopadhyay P, Aggarwal PK, Goswami UP, Deo A, Barik A, Bandyopadhyay SK, Ojha RB, Ma SC, Sehgal VK, Chandrapala AG, Rimal R, Tripathi R, Salam MA.   +13 more
europepmc   +1 more source

Research progress on agricultural water information sensing and applications in high-altitude cold regions. [PDF]

Sci Prog
Yang Y, Xu Y, Su L, Guo Y, Yang Y.
europepmc   +1 more source

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Irrigation Scheduling for Cotton Cultivation

2020
Crops need water for evaporation (E) and transpiration (T), known as evapotranspiration (ET). However, too much water is not good for various crops. Crop water need depends on growth stage, climate, and crop type. Approximately 40% cotton is produced under irrigated conditions. Water for irrigation is becoming limited in many cotton-growing regions and
Hussain, Sajjad, Ahmad, Ashfaq, Wajid, Aftab, Khaliq, Tasneem, Hussain, Nazim, Mubeen, Muhammad, Farid, Hafiz Umar, Imran, Muhammad, Hammad, Hafiz Mohkum, Awais, Muhammad, Ali, Amjed, Aslam, Muhammad, Amin, Asad, Akram, Rida, Amanet, Khizer, Nasim, Wajid   +15 more
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The Arkansas Irrigation Scheduler

World Environmental and Water Resources Congress 2009, 2009
In the US Mid-South, annual rainfall is generally sufficient for limited crop production, but periods of drought during the growing season make irrigation essential for optimum yields. However, factors such as cloudy weather, rainfall, and temperature swings caused by the movement of weather fronts all complicate irrigation scheduling.
Earl Vories, Phil Tacker, Steve Hall
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Irrigation Scheduling

2007
Brian Leib, Claudio Osvaldo Stockle
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Improving irrigation management by modelling the irrigation schedule

Agricultural Water Management, 1988
Abstract Three different treatments on corn, grown in Egyptian soil with shallow water table, on a cracked clay-loam soil subjected to swelling and shrinking, and in soil with a shallow water table have been evaluated using the simulation model SWATRE.
P. Van Aelst, R.A. Ragab, J. Feyen, D. Raes   +3 more
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Computerized Irrigation Scheduling

2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023
Bamory Ahmed Toru Koné, Rima Grati, Bassem Bouaziz, Khouloud Boukadi   +3 more
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DECISION SUPPORT FOR OPTIMISED IRRIGATION SCHEDULING

Acta Horticulturae, 2009
The system, developed under the FLOW-AID (an FP6 project), is a farm level water management system of special value in situations where the water availability and quality is limited. This market-ready precision irrigation management system features new models, hardware and software.
Anastasiou, A., Sawas, D., Pasgianos, G., Sigrimis, N., Stanghellini, C., Kempkes, F.L.K.   +5 more
openaire   +2 more sources