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AfPCA Proceedings 2024

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Bonfil, D.J
Benaouda, H
Belal, A.B
Zingore, S
Peets, S
BARBOUCHI, M
Chivenge, P
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Authors
Vanlauwe, B
Amede, T
Baudron, F
Chivenge, P
Devare, M
Saito, K
Kihara, J
Nangia, V
Pypers, P
Shepherd, K
Vandamme, E
Peets, S
Woods, S
Herrmann, I
Sadeh, R
Avneri, A
Tubul, Y
Lati, R
Abbo, S
Bonfil, D.J
Peleg, Z
Belal, A.B
Mohamed, E.S
Jalhoum, M.E
Zahran, M
Abdellatif, M.A
Emam, M.S
Hendway, E.A
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
BARBOUCHI, M
BAHRI, H
SOUISSI, A
CHEIKH M'HAMED, H
ANNABI, M
Chikowo, R
Zingore, S
Kafesu, N
Abail, Z
Benaouda, H
Chikhaoui, M
Benyahia, H
Iben Halima, O
Baraka, M
Douaik, A
Iaaich, H
Zouahri, A
Omari, F
Topics
Decision Support Systems
Precision Agriculture for Small Holders
Proximal and Remote Sensing
Precision Nutrient Management
Mapping and Geostatistics
Precision Nutrient Management
Type
Oral
Year
2020
2022
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Authors

Filter results8 paper(s) found.

1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scale

Required increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme

2. Mechanisation of smallholders in Zambia by agrodealer development

The main challenges hampering agricultural mechanization in sub-Saharan Africa (SSA) are affordability, availability, lack of farmer skills and constraints within the private sector. Smallholders are trapped in a vicious circle of low income, low demand, high cost, and lack of financing. Low capacity and lack of support for mechanisation contractors (agrodealers) to succeed is holding back the development. The objectives of this work were (i) to assess the affordability of mechanisation systems... S. Peets, S. Woods

3. Spectral assessment of chickpea morpho-physiological traits from space, air and ground

Chickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity.  Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields.  The ability to assess water potential can support irrigation decisions.  Thus, improved ability to spatially assess plants water status can promote more efficient irrigation.  The current... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg

4. 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

5. Nutrient management tailored to smallholder agriculture enhances productivity and sustainability

Plant nutrition plays a central role in the global challenge to produce sufficient and nutritious food, lessen rural poverty, and reduce the environmental footprint of crop production. Efficient fertilizer use requires tailored solutions that are scientifically sound, practical and scalable especially for smallholder farmers, such as the crop-led site-specific nutrient management (SSNM) approach developed in the 1990s for cereal production systems in Asia to address variability among farms. Originating... P. Chivenge, K. Saito, M. Bunquin, S. Sharma, A. Dobermann

6. Soil organic carbon mapping in Tunisia: comparison of different interpolation methods

Soil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh m'hamed, M. Annabi

7. Comparative fertilization effects on maize productivity under conservation and conventional tillage on sandy soils in a smallholder cropping system in Zimbabwe

Low crop yields, food insecurity and abject rural poverty continue to be rampant in much of Southern Africa. Components of conservation agriculture (CA) are being widely promoted in southern Africa as one of the strategies to increase food security and mitigate rural poverty, despite there being scarce empirical evidence on their efficacy on degraded soils. This research aimed to assess the effects of tillage systems on maize grain yields under rain-fed conditions across a soil organic matter... R. Chikowo, S. Zingore, N. Kafesu

8. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms

Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari