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AfPCA Proceedings 2024

Proceedings

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On-Farm Experimentation
Precision Planting/Harvesting
Education and Outreach Innovations
Remote and Proximal Sensing
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Authors
A. Akogo, D
Abdelfattah, M.A
Abdellah, E
Abdul Rasheed, M
Abdul Rashid, I
Aduramigba-Modupe, A
Aduramigba-Modupe, V
Akena, R
Amin, M.E
Atnafu, O
Balota, M
Bayad, M
Belal, A.A
Ben-Dor, E
Charvat, K
D. Burow, M
Danquah, A
EL KHALFI, C
ENDRIS, S
Geremew, N.T
Gerrard, B
HAJJAJ, H
Hoisington, D
IBNO NAMR, K
Jibrin, J.M
Kanvenaa Puozaa, D
Kassim, Y
Kofi Sie, E
Kubickova, H
Lawan, B
Löytty, T
Madukwe, D
Mahmoud, A.G
Masemola, R
Mesfin, T
Miderho, C
Mirkena, L.W
Mohamed, E.S
Musinguzi, P
Nabil, M
Obot, A
Olabanji, O
Rhoads, J
Richard Oteng-Frimpong, R
Tamiru, S
Waraka, B.B
Topics
On-Farm Experimentation
Precision Planting/Harvesting
Remote and Proximal Sensing
Education and Outreach Innovations
Type
Oral
Poster
Year
2022
2024
2020
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Topics

Filter results11 paper(s) found.

1. 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 pla... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova

2. 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 a... N.T. Geremew, B.B. Waraka, L.W. Mirkena

3. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index ... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

4. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern Uganda

Globally, flooded irrigation is a major water management method used to boost rice production. In Uganda, flooded irrigation is being promoted for lowland rice farming amidst the increasing threat of climate change and variability. Use of mineral fertilizer and improved varieties during the rice cropping calender is a measure towards intensive and precision farming for increased yields. However, the response of lowland rice varieties to fertilization with a defined cropping calendar remain no... R. Akena, P. Musinguzi

5. Fine-tuning Specialty Fertilization Strategies to Local Wheat Production Through On-farm Experimentation in Nigeria

Wheat specialty fertilizer validation trial was conducted in 8 Local Government Areas (LGAs) of Kano State, Nigeria on farmers field. The specialty fertilizer validation project is implemented to improve the productivity and profitability of small-scale wheat smallholder farmers. Four treatments - absolute control (AC), local control (LC), OCP1 and OCP2 were replicated four times in a RCBD on a plot of 25m2. The AC was based on the indigenous nutrient supply from the soil (no appli... V. Aduramigba-modupe, J.M. Jibrin, . Olabanji, B. Lawan, D. Madukwe

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

... Y. Kassim

7. Impact of Organic Soil Amendments on Fungal Population and Germination of Maize Seeds in Lead Contaminated Soil

... A. Aduramigba-modupe

8. 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. ... H. Hajjaj, K. Ibno namr, E. Abdellah , C. El khalfi

9. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity  stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution  topsoil (0-30cm) map of Morocco and estimated t... B. Gerrard, E. Ben-dor, M. Bayad

10. Development and Validation of an Algorithm for Optical Sensor-based Nitrogen Fertilization for Durum Wheat in Central Ethiopia I. Algorithm Development

Monitoring in-season nitrogen (N) management using proximal optical sensors is often considered highly cost-effective and efficient. Developing a successful sensor-based algorithm to optimize in-season N application for durum wheat could enhance productivity and nitrogen use efficiency. This study aimed to develop and validate a sensor-based algorithm for N fertilization of durum wheat in central Ethiopia. The developed algorithm is based on the prediction of total N uptake from normalized di... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru

11. Assessing The Potential Of Drone Remotely Sensed Data In Detecting The Soil Water Content, And Taro Leaf Chlorophyll Content Across Different Phenological Stages

... R. Masemola