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AfPCA Proceedings 2024

Proceedings

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HAJJAJ, H
Bunquin, M
Bühlmann, A
TOVIHOUDJI, P
Berhe, G
Maina, E.W
MORIMOTO, E
Gachara, G.W
Rhodes, C
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Authors
TIDJANI, A
TOVIHOUDJI, P
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
MORIMOTO, E
ARAI, Y
NONAMI, K
ITO, T
Berhe, G
Rhodes, C
Gachara, G.W
Lahlali, R
Suleiman, R
Kilima, B.M
Maina, E.W
Maina, E.W
Rhodes, C
HAJJAJ, H
IBNO NAMR, K
Abdellah , E
EL KHALFI, C
Wanyama , J
Ikabat, J
Kabenge, I
Hess, P
Nakawuka, P
Bwambale , E
Muyonga, J
Felicioni, S
Bühlmann, A
Anken, T
Topics
Applications for UAVs
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
Adoption of Precision Agriculture
Keynote
Precision Agriculture for Small Holders
Precision Nutrient Management
Plenary Session
Remote and Proximal Sensing
Water Management for Precision Agriculture
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results11 paper(s) found.

1. REVISITING INLAND VALLEYS MANAGEMENT STANDARDS IN THE CONTEXT OF GLOBAL CHANGE IN WEST AFRICA

Considered as main alternative to the crisis of traditional production systems, inland valleys management pains more and more to fill expectations of West African’s farmers due to the inadequacy, in the current context of climate, agrarian and environmental change of the management standards applied to these ecosystems. One consequence of this inadequacy is the inefficient exploitation of the inland valleys with the results being the persistence of the food insecurity, environmental degradation... A. Tidjani, P. Tovihoudji

2. 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

3. 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

4. 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

5. Soil fertility characterization and mapping for Adigudem plain, Northern Ethiopia

As Ethiopia’s agriculture has been influenced by variability and poor soil fertility management and information, thus this study was aimed to determine the physico-chemical properties of soils and build geo-referenced soil information systems so as to have precision agriculture for adigudem plain. An area of 229 km2 comprising different villages was delineated for the study. Soil sampling points were arranged in a grid form and georeferenced using a hand-held GPS. A total of 194 Soil samples... G. Berhe

6. Keynote 6 - Farmer-led design and knowledge sharing: Empowering smallholders to maximize impact

Producers Direct is an international non-profit led by smallholder farmers for smallholder farmers. With over a decade of experience in farmer-led design and experimentation, Producers Direct has piloted and scaled a number of in-person and digital solutions that have improved the livelihoods for over 1 million small-scale farmers across East Africa and Latin America to-date. International recognition for our work has included UK Google Impact Challenge winner; World Bank Collaborative Data... C. Rhodes

7. 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

8. Effect of Different Combinations of N, P and K Nutrients on Growth, Yield and Fibre Quality of Cotton (Gossypium Hirsutum L.)

Cotton has high requirements for nitrogen (N) phosphorus (P) and potassium (K), and the nutrients interact differently on yield and quality of this crop. This necessitates the precise combination of these nutrients to maximize yield and quality. Two cotton varieties (Bt cotton and a conventionally bred variety, HART 89M) were assessed for growth, yield and quality under different nutrient combinations in two contrasting environments in semi-arid Kenya. Nutrient combinations were NPK,... E.W. Maina, E.W. Maina

9. Farmer-led Approaches to Digital Innovation

Digital agricultural innovation has significant potential to transform the ability of smallholder farmers to engage with and benefit fro precision agriculture. Despite this, the benefits of digital agricultural technologies remain largely inaccessible to most of these smallholder farmers. This presentation will share updates and lessons learnt from Producers Direct’s experiences in designing and scaling farmer-led approaches to digital agricultural innovation.  ... C. Rhodes

10. Evaluating Soil Organic Matter Under a No-Till System Using Digital Sensors (EM38 and MSP3)

Agriculture, especially in no-till systems, plays a crucial role in ensuring global food security. The pressure on agricultural lands due to a growing population and climate change necessitates innovative solutions. Proximal soil sensing using electromagnetic induction (EMI) and electrical conductivity (ECa) sensors has gained prominence. These technologies provide rapid, non-destructive measurements of soil properties, offering advantages over remote sensing and laboratory analyses. In... H. Hajjaj, K. Ibno Namr, E. Abdellah , C. El Khalfi

11. Design and Development of a LoRa Communication System for Scalable Smart Irrigation Systems

Smart irrigation is a promising tool to optimize irrigation water use but is still faced with challenges related to usability and applicability attributed to several constraints such as high initial costs, complex user interface, poor connectivity, limited farm coverage, etc. This study aimed to solve some of these issues through the development and testing of a LoRa communication system using a Raspberry Pi 4, LoRa HAT concentrator, and Strega smart valve at the Makerere University Agricultural... J. Wanyama , J. Ikabat, I. Kabenge, P. Hess, P. Nakawuka, E. Bwambale , J. Muyonga, S. Felicioni, A. Bühlmann, T. Anken