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AfPCA Proceedings 2024

Proceedings

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Bonfil, D.J
Majaliwa, M.J
Peleg, Z
Kilima, B.M
Ganyo, K.K
SEHBAOUI, F
Sawsen, A
Metwalli, M.R
Soaud, A.A
KPEMOUA, K
Dobermann, A
Li , R
Lare, M
GUEMOURIA, A
Lin, S
KOTAIX , A
SOGBEDJI, J
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Authors
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
Yamungu, A.B
Egeru, A
Majaliwa, M.J
Dossa, B.M
Herrmann, I
Sadeh, R
Avneri, A
Tubul, Y
Lati, R
Abbo, S
Bonfil, D.J
Peleg, Z
Sogbedji, J.M
Lare, M
WILLIAM, K
SOGBEDJI, J
LARE, M
Ganyo, K.K
ABLEDE , K.A
KOUDJEGA, K
ANI, S
AFAWOUBO, K
ANOUMOU, D.A
MENSAH, A.T
ASSIH-FARAM, E
TCHALLA-KPONDJI, M
KPEMOUA, K
LOMBO, Y
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
Soaud, A.A
El-Metwally , E.A
Ali, A.M
Sayed, R.K
GUEMOURIA, A
Dobermann, A
KOTAIX , A
Abdellatif, B
Metwalli, M.R
Metwaly, M.M
AbdelRahman, M.A
Gachara, G.W
Lahlali, R
Suleiman, R
Kilima, B.M
LARE, M
SOGBEDJI, J
LOTSI, K
AMOUZOU, K
ALE GONH-GOH, A
AGNEROH , A
SOGBEDJI, J
LARE, M
SOGBEDJI, J
WILLIAM, L
LARE, M
SEKAYA, A
SIKA , K
TAGBA, E
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Sbai, I
SEHBAOUI, F
Hmimou, M
Nyamayevu, D
Nyagumbo, I
Liang , W
Li , R
Topics
Proximal and Remote Sensing
Climate Smart Agriculture
Economics of Precision Agriculture
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
Plenary
Climate Smart Agriculture
Precision Agriculture for Small Holders
Economics of Precision Agriculture
Adoption of Precision Agriculture
Precision Nutrient Management
Precision Nutrient Management
Small Holders and Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
Home » Authors » Results

Authors

Filter results20 paper(s) found.

1. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

2. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGO

Climate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), mid-century... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa

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. Tomato yield and economic performance under organic and mineral fertilizer applications in coastal Togo

Research efforts towards enhancing vegetables production are still needed in Togo. We assessed tomato (Solanum lycopersicum) yield and associated economic returns under three soil fertility management strategies in a 3-yr period study. Three tomato varieties were used including:  MONGAL-F1 (V1), SUMO-F1 (V2) and COBRA 26-F1 (V3). The fertilization regimes were: no fertilizer application as the control (F1), application of 200 kg of N15P15K15 + 100... J.M. Sogbedji, M. Lare

5. La fertilité indigène du sol : un élément catalyseur de l’agriculture de précision

Dans le contexte actuel de la dégradation des ressources naturelles et des problèmes de disponibilité et d'accessibilité des intrants agricoles, l'agriculture de précision dont le point d'entrée est la connaissance de la fertilité endogène du sol s'impose. Des essais soustractifs ont été conduits pendant deux ans (2018-2019) à la Station d'Expérimentations Agronomiques de l'Université... K. William, J. Sogbedji, M. Lare

6. Soil fertility mapping of Dry savannah zone of Togo

Increasing agricultural productivity and therefore the production requires a good knowledge of the soil fertility status and a sustainable nutrients management. The objective of this study is to map spatial distribution of some selected soil fertility parameters in the dry savannah agro-ecological zone that covers the regions of Savanes and Kara in Togo. Soil fertility parameters such as pH, available phosphorus (P), exchangeable potassium (K) and organic matter were determined in soil samples... K.K. Ganyo, K.A. Ablede , K. Koudjega, S. Ani, K. Afawoubo, D.A. Anoumou, A.T. Mensah, E. Assih-faram, M. Tchalla-kpondji, K. Kpemoua, Y. Lombo

7. 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

8. 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

9. Decision Support System in Agriculture

Descriptive integrated models for water resource management are not limited to hydrological variables, but integrate environmental socio-economic subsystems and study the interactions and feedbacks between the various interacting subsystems.    Agriculture is a major water resource management sector that takes economic factors into account.    In dynamic system models, we try to look for the optimal economic policies to achieve sustainability by introducing...

10. Imagining Precision Farming in Africa

Africa needs its own and unique Green Revolution now, but it can also take advantage of many lessons learned all over the world. Precision farming is much more than the application of advanced, expensive technologies for managing soils and crops on a commercial scale. In the African context, it is all about better agronomy at any scale, including small and medium-size farms. Many ingredients for that exist already, whereas others still need to find their way into scalable business solutions... A. Dobermann

11. Les engrais minéraux issus du diagnostic sol améliorent la fertilité chimique et la production cacaoyère à l’Est, au Centre-Sud et au Sud-Ouest de la Côte d’Ivoire

Une étude sur la fertilisation minérale raisonnée a été faite sur trois ans, à l’Est (Indénié-Djuablin), au Centre-Sud (Lôh-Djiboua) et au Sud-Ouest (Nawa) de la Côte d’Ivoire afin, d’évaluer les effets de 6 formules d’engrais minéraux sur la fertilité du sol et la production cacaoyère. Ainsi, sur chaque site, le dispositif expérimental a été en bloc de Fisher,... A. Kotaix

12. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.

Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman

13. 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

14. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo

Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh

15. Variability in Yield Response of Maize to N, P and K Fertilization Towards Site-specific Nutrient Recommendations in Two Maize Belts in Togo

Les régions de savane et du centre sont les principales zones de production de maïs au Togo, mais avec des rendements en grains de maïs à un seuil de seulement 1,5 Mg ha -1 . Nous utilisons une approche participative pour évaluer l'importance des trois principaux macro-éléments (N, P et K) pour la culture du maïs dans les deux régions afin de permettre davantage de recommandations d'engrais spécifiques au site et... J. Sogbedji, M. Lare

16. Maximisation De L’efficience D’utilisation Des Nutriments : Recommandation De Fertilisation à La Carte Pour Le Maïs Sur Les Ferralsols Du Sud-togo

L'amélioration de la nutrition des plantes à travers l'agriculture de précision devient incontournable pour l'optimisation de l'entreprise agricole et la protection de l'environnement. Nous avons conduit pendant la grande saison culturelle de 2019 et 2020, sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium (K) à la station d'expérimentations agronomiques (SEAL)... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba

17. 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

18. 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

19. Use of “FertiEdge” Application for Optimizing Wheat Fertilization

Wheat is a crop of global importance, and effective fertilization is crucial to maximize yield and quality. Traditional methods of fertilization often result in under- or over-application of nutrients, resulting in environmental problems and suboptimal crop yields. FertiEdge is a digital application that provides accurate fertilization recommendations based on real-time data, it’s an innovative tool designed to enhance the efficiency of wheat fertilization. This study evaluates its impact... I. Sbai, F. Sehbaoui, M. Hmimou

20. 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