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AfPCA Proceedings 2024

Proceedings

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Löytty, T
Suleiman, R
Belaqziz, S
Nyagumbo, I
Engoke, C
Buttafuoco, G
Justin, P
Shinde, G.U
Boughattas, N
Sehbaoui, F
Devare, M
Baram, S
Schiller, N
Esso-Iheyou, G
Ludemann, C
Jalhoum, M.E
Dagan, A
Chentouf, M
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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
Charvat, K
Miderho , C
Obot, A
Löytty, T
Kubickova, H
Belal, A.B
Mohamed, E.S
Jalhoum, M.E
Zahran, M
Abdellatif, M.A
Emam, M.S
Hendway, E.A
Hmimou, M
Laamrani, A
Sehbaoui, F
Chehbouni, A
Khabba, S
Dhiba, D
Chebli, Y
El Otmani, S
Chentouf, M
Hornick, J
Cabaraux, J
Karad, S.C
Shinde, G.U
Kumar, P
Aboelkhier, H
Nasrallah, A
Shaddad, S
Buttafuoco, G
Rave, E
Ohana, N
Linker, R
Termin, D
Beryozkin, A
Paz-Kagan, T
Baram, S
Komlan, A
Kokou Zovodu, K
Bassarou, A
Esso-Iheyou, G
Justin, P
Dagan, A
Gachara, G.W
Lahlali, R
Suleiman, R
Kilima, B.M
Hobart, M
Anin-Adjei, E
Hanyabui, E
Badu-Marfo, G
Schirrmann, M
Schiller, N
choukri, M
Laamrani , A
simonneaux , V
Gerard , B
Belaqziz, S
Chehbouni, A
misbah, K
Mcnairn, H
Chebli, Y
Chentouf, M
Cabaraux, J
El Otmani, S
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Sehbaoui, F
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Mutsamba-Magwaza, E
Nyamayevu, D
Nyamadzawo, G
Mandumbu, R
Nyagumbo, I
Nyamayevu, D
Nyagumbo, I
Liang , W
Li , R
Topics
Decision Support Systems
Education and Outreach Innovations
Precision Agriculture for Small Holders
Precision Nutrient Management
Robotics, Automation, and Small Farm Mechanization
Precision Agriculture for Field and Plantation Crops
Adoption of Precision Agriculture
Precision Nutrient Management
Precision Agriculture for Small Holders
Proximal and Remote Sensing
Mapping and Geostatistics
Adoption of Precision Agriculture
Plenary Session
Precision Nutrient Management
Water Management for Precision Agriculture
Small Holders and Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results19 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. SmartAfriHub for SmartAgriculture capacity buidling in Africa

Digital Innovation Hubs (DIH) are multi-actor ecosystems that support farming communities in their digital transformation by providing a broad variety of services from a one-stop shop. DIHs purpose is to  provide a social space for community of practices;  provide access to digital technologies and competencies; provide access to infrastructure and tests digital innovations (“test before invest”); provide development playground... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova

3. 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

4. MAPPING AND ASSESSING AFRICAN SOILS FERTILITY USING HIGH-RESOLUTION REMOTE SENSING AND MACHINE LEARNING APPROACHES: STATE-OF-THE-ART AND PERSPECTIVES

Africa is far from exploiting its true agricultural potential. United Nations Food and Agriculture Organization (FAO) indicates that the continent has 60% of non-cultivated lands worldwide. While soil fertility is well highlighted as one of the major limiting factors, only limited information is available on soil nutrient contents and nutrient availability in the African soils. Soil fertility of agricultural fields is related to many physical and chemical properties, such as texture, organic matter... M. Hmimou, A. Laamrani, F. Sehbaoui, A. Chehbouni, S. Khabba, D. Dhiba

5. Application of precision agriculture technologies in grazing: example of goats browsing in forest rangelands of Northern Morocco

The aim of this study was to characterize patterns of grazing behavior of goats in a Mediterranean forest rangeland. We conducted a one-year study in the Chefchaouen region, Northern Morocco, during two contrasting seasons (spring and summer) using new technological tools. Eight goats were simultaneously fitted with GPS collars and sensors for 3 days during each season. A calibration study and classification tree analysis were used to predict other grazing activities of goats (eating, walking,... Y. Chebli, S. El otmani, M. Chentouf, J. Hornick, J. Cabaraux

6. A review on Sensor based robotics agriculture: Improving traditional Agriculture Practices

Agribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor sprayers, this... S.C. Karad, G.U. Shinde, P. Kumar

7. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

8. 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

9. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMON

La dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin

10. Predicting of Canopy Nitrogen Content Based on UAVs and Satellites Data Fusion in Citrus Orchards

Nitrogen (N) is often regarded as the most critical nutrient and the growth-limiting factor in soil for ‎‎plant growth and often needs to be supplemented by N-fertilization to minimize yield ‎‎loss. However, the over-application of N fertilizers may cause nutrient imbalance ‎and contribute ‎to groundwater ‎contamination by nitrate (NO3-) leaching and NOx air pollution. Today the ‎evaluation of plant ‎nutritional status (including ‎N... A. Dagan

11. Drivers of Post-harvest Aflatoxin Contamination: Evidence Gathered from Knowledge Disparities and Field Surveys of Maize Farmers in the Rift-valley Region of Kenya

Maize-dependent populations in sub-Saharan Africa are continually exposed to aflatoxin poisoning owing to their regular consumption of this dietetic cereal. Being a staple in Kenyan households, consumption of maize-based meals is done almost daily, thereby exposing consumers to aflatoxicoses. This study assessed awareness levels, knowledge disparities and perceptions regarding aflatoxin contamination at the post-harvest phase among farmers in the Rift-valley region of Kenya. Households were randomly... G.W. Gachara, R. Lahlali, R. Suleiman, B.M. Kilima

12. Photogrammetrically Assessed Smallholder Pineapple Fields in Ghana Using Small Unmanned Aircraft Systems

Ultra-high-resolution imagery taken by small unmanned aircraft systems (sUAS, drones) has been proven beneficial for the monitoring of agricultural crops in conventional farming especially in the context of precision farming. For smallholder pineapple cultivation, the use of sUAS imagery is still sparsely evaluated. However, technical developments in low cost sUAS-sensor combinations make assessments of agricultural areas by service providers more and more affordable for Africa. In this study,... M. Hobart, E. Anin-adjei, E. Hanyabui, G. Badu-marfo, M. Schirrmann, N. Schiller

13. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.

African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through  the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn

14. Using Precision Technologies to Monitor the Grazing Activities of Goat in a North African Woodland

In the north of Africa, browsing on natural pastures is the main source of feed for domestic goats. Livestock farming, particularly grazing goats, constitutes the prevalent agricultural activity in the mountainous areas of Morocco. Data on animal behavioral activities are essential for understanding their feeding and their interaction with the environment in order to define the optimal management intervention strategies. The recent development of precision farming technologies and the increasing... Y. Chebli, M. Chentouf, J. Cabaraux, S. El otmani

15. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps

Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum

16. Agricultural Data Market to Empower African Farmers

By transforming the agricultural data into agronomic advices by using AI model, farmer can get a strong tool to help them making the right decision in the right time. Decision about the quantity and the quality of fertilizer to apply, the quantity and the timing of the irrigation,… Also he can get valuable information about yield prediction, phytosanitary risk. All of this information can help famers reducing its operational cost by up to 30%. To develop robust AI model,... F. Sehbaoui

17. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef

18. Rainwater Harvesting and Nutrient Intensification in Maize-Legume Farming Systems in Semi-Arid Zimbabwe

Agricultural productivity in Zimbabwe is declining mainly due to climate change and inherently poor soil fertility. The situation is worsened by the high cost of fertilizers beyond the reach of many smallholder farmers. In response to these challenges, most smallholder farmers are implementing either rainwater harvesting (RWH) or integrated soil fertility management (ISFM). This study sought to investigate the role of integrating the tied-contour RWH (TC-RWH) technique and ISFM on soil moisture,... E. Mutsamba-magwaza, D. Nyamayevu, G. Nyamadzawo, R. Mandumbu, I. Nyagumbo

19. Optimizing Maize Production Through Minimum Tillage in Conservation Agriculture Systems: Evidence from Malawi's Lowlands

Sustainable intensification in agricultural systems has been implemented and promoted across Sub-Saharan Africa (SSA) as a strategy for addressing low crop productivity often resulting in widespread food and nutritional insecurity. This study sought to assess the productivity potential of conservation agriculture (CA) cropping systems and associated crop establishment techniques in terms of grain, protein and energy yield. An on-station trial was implemented at Chitala Research Station in Malawi... D. Nyamayevu, I. Nyagumbo, W. Liang , R. Li