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AfPCA Proceedings 2024

Proceedings

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Njoroge, S
Alou, I.N
Mirkena, L.W
Coulibaly, O.N
Menya, J.M
NONAMI, K
Abdul Rashid, I
ABLEDE , K.A
Lutomia, C
Taylor, J
Peña, J
Saito, K
Woods, S
Sibanda, M
LARE, M
KHECHBA, K
Anin-Adjei, E
Söderström, 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
Peets, S
Woods, S
Söderström, M
Piikki, K
Kihara, J
Mutua, J
Wetterlind, J
Taylor, J
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, 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
MORIMOTO, E
ARAI, Y
NONAMI, K
ITO, T
KHECHBA, K
LAAMRANI, A
CHEHBOUNI, A
Dhiba, D
Misbah, K
Geremew, N.T
Waraka, B.B
Mirkena, L.W
Söderström, M
Persson, K
Fassinou Hotegni, N.V
Godonou, Y.L
Gnanglè, L.M
Coulibaly, O.N
Achigan-Dako, E.G
Opolot, E
Besigye, D
Musinguzi, P
Alou, I.N
Basamba, T.A
Olupot, G
Hobart, M
Anin-Adjei, E
Hanyabui, E
Badu-Marfo, G
Schirrmann, M
Schiller, N
Menya, J.M
Musinguzi, P
Mwanjalolo, J.M
SOGBEDJI, J
LARE, M
SOGBEDJI, J
WILLIAM, L
LARE, M
SEKAYA, A
SIKA , K
TAGBA, E
Peña, J
de Castro, A
Odong, P.C
Olupot, G
Odong, T.L
Mwije, A
Musinguzi, P
Alou, I.N
Basamba, T.A
Ebanyat, P
Opolot, E
Kassim, Y
Richard Oteng-Frimpong, R
Kanvenaa Puozaa, D
Kofi Sie, E
Abdul Rasheed, M
Abdul Rashid, I
Danquah, A
A. Akogo, D
Rhoads, J
Hoisington, D
D. Burow, M
Balota, M
Sibanda, M
Adolwa, I
Muthamia, J
Lutomia, C
Cook, S
Topics
Decision Support Systems
Precision Agriculture for Small Holders
Precision Nutrient Management
Adoption of Precision Agriculture
Precision Agriculture for Field and Plantation Crops
On-Farm Experimentation
Proximal and Remote Sensing
Adoption of Precision Agriculture
Precision Water Management
Mapping and Geostatistics
Economics of Precision Agriculture
Plenary Session
Precision Agriculture for Tree Crops
Robotics, Automation, and Small Farm Mechanization
On-Farm Experimentation
Type
Oral
Poster
Year
2020
2022
2024
Home » Authors » Results

Authors

Filter results24 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. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in Africa

Smallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind

4. Acceptance and Usage of Agri-tech in smallholder Chinese systems: Lesson learnt and implications for other small-holder farming systems.

This paper will present a synthesis of activities performed in a collaborative UK-China project (PAFiC - 2015-2019) aimed at achieving a better understanding of the translation of precision agriculture (PA) technologies into small farms in China. The intent is to outline the farmer-focused approach that was used in the PAFiC project and the tools developed to understand PA adoption trends in China. Finally, we consider the potential implications of the outputs from PAFiC for promoting... J. Taylor

5. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser Scanning

In this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato

6. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

7. 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

8. 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

9. 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

10. Development of Lodging Direction Determination System Using Image Processing

In this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito

11. 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

12. Lime and Phosphorus Effects on Soil Acidity and Malt Barley Phosphorus Use Efficiency in Welmera District, Central Highlands of Ethiopia

In Ethiopia, about 43% of total arable land affected by soil acidity. Furthermore, phosphorus (P) deficiency is a major constraint to increase crop yields. Efforts to ameliorate the deleterious effects of soil acidity must therefore be accompanied by measures to increase P availability in soils. Therefore, appropriate rate of lime and P fertilizer is an important strategy for improving crop growth in acidic soils. Accordingly, an experiment was undertaken to study lime and P effects on soil acidity... N.T. Geremew, B.B. Waraka, L.W. Mirkena

13. From Drone to Satellite – Does It Work?

Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson

14. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin Republic

Cowpea [(Vigna Unguiculata (L.) Walpers] is among the most preferred and consumed legumes in West Africa and grown by many smallholder farmers. The crop has huge potential, is easy to grow and constitute a source of income of many actors involved in different value chains. Unfortunately, despite many interventions which aimed at promoting the crop in West Africa mainly Benin, areas under cowpea crop decrease over the years along with the loss of cowpea-based products. Such problem is... N.V. Fassinou Hotegni, Y.L. Godonou, L.M. Gnanglè, O.N. Coulibaly, E.G. Achigan-dako

15. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in Uganda

Water and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for crop... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot

16. 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

17. Comparative Assesement of Interpolation Techniques in Predicting Soil Properties on a Sloping Pasture Land Under Fallow in a Ferralsol in Uganda

Soil variability is a major challenge in application of mineral fertilizers in Sub-Saharan Africa (SSA). Use of soil fertility maps can effectively guide the use of mineral or organic fertilizers or fertilizers. Interpolation techniques are widely used in the formulation of these fertility maps. The precision of spatial interpolation techniques for predicting unmeasured values have been reported by various researchers but there are cconflicting findings regarding the relative performance of these... J.M. Menya, P. Musinguzi, J.M. Mwanjalolo

18. 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

19. 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

20. A Multi-scale Evaluation of Precision Weed Control Strategies in Corn Fields with Drone Technology

Corn (Zea mays L.) is a worldwide priority crop, whose potential yields are closely affected by weed competence, especially in the early stages of crop development. A major concern in corn-growing areas is the occurrence of Sorghum halepense L., as this weed shows reduced sensitivity to pre-emergence herbicides and, therefore, it is necessary to use post-emergence treatments that entail an increase in cost. This research studied the impact of applying a precision weed (S.... J. Peña, A. De Castro

21. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa Practitioners

Hass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information by... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot

22. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim

23. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral Data

Natural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of maize... M. Sibanda

24. The Value and Potential of On-Farm Experimentation to Catalyze Agricultural Transformation

On-farm experimentation (OFE), which inculcates farmers’ agency in knowledge discovery, has the potential to support and accelerate transformative agronomy at scale. The OFE process within the Nutrient-Catalyzed Agricultural Transformation in Africa (NUTCAT) project, encompasses farmer engagements, set-up of simple, easy-to-understand treatment designs, and contextual analysis of the data to enhance the relevance of the results to farmers. Ultimately, it is envisaged that this process will... I. Adolwa, J. Muthamia, C. Lutomia, , S. Cook