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AfPCA Proceedings 2024

Proceedings

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Kulmany, I.M
Shumba, A
Kehinde , I
KHABBA, S
Dumont, B
Sayed, R.K
Paz-Kagan, T
Belal, A.B
LAAMRANI, A
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Authors
Kulmany, I.M
Vona, V
Vona, M
Szekeres, L
Bede, L
Milics, G
Kovacs, B
Belal, A.B
Mohamed, E.S
Jalhoum, M.E
Zahran, M
Abdellatif, M.A
Emam, M.S
Hendway, E.A
Soaud, A.A
El-Metwally , E.A
Ali, A.M
Sayed, R.K
KHECHBA, K
LAAMRANI, A
CHEHBOUNI, A
Dhiba, D
Misbah, K
Rave, E
Ohana, N
Linker, R
Termin, D
Beryozkin, A
Paz-Kagan, T
Baram, S
EL HACHIMI, C
BELAQZIZ, S
KHABBA, S
CHEHBOUNI, A
Shumba, A
EL-MEJJAOUY, Y
Dumont, B
Vermeulen, P
Oukarroum, A
Mercatoris, B
Kehinde , I
Topics
Adoption of Precision Agriculture
Precision Agriculture for Small Holders
Precision Nutrient Management
Precision Agriculture for Field and Plantation Crops
Precision Water Management
Proximal and Remote Sensing
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results9 paper(s) found.

1. Delineation of site-specific management zones based on soil apparent electrical conductivity (ECa) measurement combining traditional soil sampling method

Site-specific management requires the identification of treatment areas based on homogeneous characteristics. The designation of subfield regions is challenging because of complex correlations appearing in spatial variability of soil properties and nutrient concentrations.  The research was conducted on two neighbouring fields (48 ha and 15 ha) in Fejér county, Hungary. Soil ECa mapping was carried out on 22 October, 2019 and soil samples were taken on 15 November, 2019.... I.M. Kulmany, V. Vona, M. Vona, L. Szekeres, L. Bede, G. Milics, B. Kovacs

2. Using Site-Specific Management Zones for Potato Crop Management, East Nile Delta, Egypt

The field management zones (MZ) delineated using soil electrical conductivity (EC) and topographic parameters   are the basis for site-specific crop management (SSCM). The objective of this paper was to delineation site-specific management zones of 155 feddans (67.2 ha) of a potato  pivot field at East of Nile Delta, Egypt for use in smart farming based on spatial variability of soil and plant properties, yield  and topographic attributes. The salinity measurement in the field... A.B. Belal, E.S. Mohamed, M.E. Jalhoum, M. zahran, M.A. Abdellatif, M.S. Emam, E.A. Hendway

3. IMPACT OF SENSOR-BASED PRECISION NITROGEN MANAGEMENT ON WHEAT YIELD AND NITROGEN USE EFFICIENCY

Optical sensors are promising new technology for precision nitrogen management in crops. Fertilizer N management for wheat (Cultivar: Giza 171) using optical sensor (GreenSeeker®) was evaluated at the Experimental Farm of Faculty of Agriculture, Cairo University, Giza Governorate, Egypt. The experiment was laid out in randomized block design with three replications during two successive winter seasons (2017/2018 and 2018/2019) to quantify the relationship between N uptake at jointing growth... A.A. Soaud, E.A. El-metwally , A.M. Ali, R.K. Sayed

4. The Yield Gap In Africa: Closing the gap through soil attributes management using remote sensing & Precision Agriculture Approaches at the field scale

In Africa, which has the most population growth in the world, the agricultural system is characterized by the predominance of smallhoder farmers. In order to cope with intense population growth and increased production costs through yield gap closing. Yield gap is defined as the difference between potential yield and actual yield and is an inevitable method to improve yields while decreasing the environmental impacts of agricultural systems. The variability of yields is strongly controlled by... K. Khechba, A. Laamrani, A. Chehbouni, D. Dhiba, K. Misbah

5. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus Orchards

Integrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram

6. A reinforcement learning based approach for efficient irrigation water management

Due to population growth and the effects of climate change, most of the world's regions are threatened by water scarcity, especially in Africa and the Mediterranean region. In Morocco, agriculture consumes more than 85% of available water. Thus, to preserve water resources, the rational management of irrigation water is necessary. In this context, recent technological progress and the emergence of artificial intelligence could provide an effective decision support tool for the rational and... C. El hachimi, S. Belaqziz, S. Khabba, A. Chehbouni

7. Does the combination of conservation agriculture and fertilizer microdosing improve soil chemical properties in semi-arid Zimbabwe in the short term?

Crop yields in the fragile semi-arid areas of Zimbabwe have been declining over time due to decline in soil fertility resulting mainly from droughts and lack of fertilizers. However, conservation agriculture (CA) and fertilizer micro-dosing (MD) have the potential to sustainably improve crop yields. A field experiment was set-up to assess the effects of integrating CA and MD on soil quality. It was hypothesized that the two practices improve soil chemical properties (soil organic carbon (SOC),... A. Shumba

8. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves

The assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris

9. Influence of Mulched-drip Irrigation System on Yield and Physiological Attributes of Pepper Varieties in Southwest, Nigeria

... I. Kehinde