Ahmed G. El-Naggar- Doctor of Philosophy
- Lecturer/Researcher in Irrigation Engineering at IHE Delft Institute for Water Education
Ahmed G. El-Naggar
- Doctor of Philosophy
- Lecturer/Researcher in Irrigation Engineering at IHE Delft Institute for Water Education
Teaching, MSc and PhD Supervision, Research and Capacity Development
About
14
Publications
2,418
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Introduction
Experienced Scientist specializing in precision agriculture, and farm systems. His work focuses on developing methods to monitor soil and crop variability, estimating irrigation water demand through real-time sensing, and creating sustainable irrigation management solutions. He holds a PhD in Precision Irrigation Science from Massey University, New Zealand. He has worked across diverse roles and is currently a Lecturer/Researcher in Irrigation Engineering and Precision Agric at IHE Delft, NL.
Current institution
Current position
- Lecturer/Researcher in Irrigation Engineering
Additional affiliations
July 2021 - present
Position
- Lecturer/Researcher in Irrigation Engineering and Sensing Technology
Description
- Irrigation Engineering Science
July 2019 - July 2022
October 2014 - May 2016
Education
August 2016 - June 2020
November 2012 - July 2014
September 2005 - June 2009
Publications
Publications (14)
Phosphorus (P) deficiency is one of the major constraints for sustainable crop production in calcareous soils. This study aimed to elucidate the key soil characteristics modulating the vari�ability of soil Olsen P in these typical soils. A comprehensive soil sampling initiative (1.5 samples per hectare) was conducted on a 100-ha farm, considering 3...
Context
Agricultural land use is intensifying globally. Irrigation and other farm practices associated with intensification, such as cultivation, grazing, and fertiliser application, can increase nutrient losses. Variable rate irrigation (VRI) systems manage irrigation to spatially variable soils and different crops (zones). We lack knowledge on nu...
The agricultural sector is facing a pressing need to adopt variable-rate irrigation decision support systems (VRI–DSS) to address global challenges such as water quality, water scarcity, food security, and climate change. This study evaluated a model-based VRI–DSS for maize and sweetcorn crops in a commercial field with two soil zones and a VRI cen...
This study integrated field‐level sensor data into the FAO‐56 Penman–Monteith algorithm to provide a site‐specific estimate of crop evapotranspiration. This was carried out at two contrasting sites for pea and bean (Manawatū) and barley (Hawke's Bay) crops managed within two irrigation management zones, at each site, under variable‐rate irrigation...
Identifying opportunities to further improve pasture production on high producing, irrigated Canterbury dairy farms is complex. An innovation systems approach was used to identify the factors contributing to variation in pasture production on a case study farm such as: soil characteristics, irrigation management, and grass grub populations. This pa...
Monitoring the spatio-temporal distribution of crop height and biomass is important for crop management in terms of applying irrigation, fertilizers and pesticides. This paper reports the performance of a terrestrial laser scanner (TLS) for measuring crop height and biomass of a bean crop (Phaseolus vulgaris., cv. ‘Contender’); and crop height for...
Soil water content (θ) measurement is vital for accurate irrigation scheduling. Electromagnetic induction surveys can be used to map spatial variability of θ when other soil properties are uniform. However, depth-specific θ variations, essential for precision irrigation management, have been less investigated using this method. A quasi-2-dimensiona...
This paper reports a study conducted at Massey University No. 1 Farm, Palmerston North. The aim of the study was to understand the relationship between predicted drainage volume and the drainage volume measured by passive-wick tension flux meters in the field, and how these volumes relate to soil, climate, and irrigation. The study area has a centr...
Dynamic irrigation scheduling for Variable-rate irrigation systems is essential to accurately estimate the spatiotemporal pattern of irrigation water requirement. Real-time, sensor-based and soil-water balance scheduling methods were compared on a trial under a Variable-rate center pivot irrigation system. The soil-water balance scheduling used the...
The spatial variability in soil properties across irrigated broadacre fields in Australia can be up to 500%. Currently irrigation for these fields is typically applied uniformly. Manual monitoring and processing soil moisture and crop measurements to implement site-specific irrigation and optimise water productivity is labour-intensive and expensiv...
Apparent electrical conductivity (ECa) of the soil profile can be used to estimate indirectly the spatial variability of the soil properties: salinity, texture, cation exchange capacity and moisture content. The objective of this research is to generate 2D depth profile models of soil electrical conductivity (ECa, mS m − 1) and soil water content (...
Lot of efforts has been made to modernize on-farm water application systems to reduce water losses in agriculture; by far the largest water consuming sector. Shift from traditional gravity-fed irrigation systems to modern high-efficient pressurized systems has been largely encouraged and in some countries largely subsidized. The recent peak in ener...
