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AfPCA Proceedings 2024

Proceedings

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Danquah, A
El-Metwally , E.A
Er-Raki, S
Ennaji, O
Ebanyat, P
Ekici, S
Ezui, K.S
Hassan, D
Abbo, S
Chinwa, H
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Authors
Herrmann, I
Sadeh, R
Avneri, A
Tubul, Y
Lati, R
Abbo, S
Bonfil, D.J
Peleg, Z
Ezui, K.S
Soaud, A.A
El-Metwally , E.A
Ali, A.M
Sayed, R.K
KHARROU, M
Simonneaux, V
Le page, M
Er-Raki, S
Boulet, G
Ezzahar, J
Khabba, S
Chehbouni, A
Soaud, A
Abou-Zeid , S
Ali, A
Hassan, D
Ennaji, O
Vergutz, L
El Allali, A
Kabir, M
Ekici, S
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
Chinwa, H
Kamutando, C.N
Topics
Proximal and Remote Sensing
Precision Nutrient Management
Precision Water Management
Precision Nutrient Management
Robotics, Automation, and Small Farm Mechanization
Precision Agriculture for Tree Crops
On-Farm Experimentation
Climate Smart Agriculture
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results10 paper(s) found.

1. 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

2. Precision Nutrient Management for Cassava Production

Matching nutrient supplies with plant nutrient requirements is key to sustaining crop production while preserving the environment. However, fertilizer recommendations are either inexistent or provided as blanket rates in cassava production systems in sub-Saharan Africa. We studied the effects on cassava yield and profitability of site-specific fertilizer rates against farmer’s practices within the framework of the African Cassava Agronomy Initiative (ACAI) project in Nigeria and Tanzania. A... K.S. Ezui

3. 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

4. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environment

Increasing pressure on available water resources in semi-arid region will affect the availability of water for irrigated agriculture. In this context, adoption of innovative and cost-effective tools for water management and analysis of water use patterns in irrigated areas is required for an efficient and sustainable use of water resources.  This study aims to evaluate a remote sensing-based approach which allows estimation of the temporal and spatial distribution of crop evapotranspiration... M. Kharrou, V. Simonneaux, M. Le Page, S. Er-raki, G. Boulet, J. Ezzahar, S. Khabba, A. Chehbouni

5. Chlorophyll Meter Based Precision Nitrogen Management in Maize Grown in Alluvial Soil in Egypt

Precision nitrogen (N) management is essential for profitable crop production and to minimize N losses to the environment that are a consequence of an excessive N supply. Chlorophyll meter-based N management can help to achieve high N use efficiency, as aquick and non-destructive spectral characteristics of leaves, which can be used to diagnose plant N deficiency and graduate N fertilization with improve N use efficiency. Field experiments were conducted during two consecutive years, 2019 and... A. Soaud, S. Abou-zeid , A. Ali, D. Hassan

6. Development of a Decision Support Tool to Derive Site-specific Nutrient Management Recommendations for Maize Production Using Machine Learning​

Agriculture is the main source of food and income for rural communities in developing countries, especially in Africa. Given current population growth, pressures on agricultural systems will continue to increase. Many countries have agricultural economies that are highly dependent on agricultural productivity. For example, several variables can influence fertilization for optimal grain yields. Quantifying the effects and relative importance of soil properties such as soil type, pH, Olsen-P, climate,... O. Ennaji, L. Vergutz, A. El Allali

7. Potentials of Unmanned Aerial Vehicles (UAVs) for the Nigerian Agriculture

The continuous development of technology is driving the invention of new machineries such as the Unmanned Aerial Vehicles (UAVs), also known as “drones”. The UAVs have become much more popular within the last decade for its significant roles in agriculture among other industries, yet their applications in Nigeria are yet to be appreciated. Therefore, the present study reviewed the characteristics and multiple uses of UAVs in agriculture and their potentials for the Nigerian... M. Kabir, S. Ekici

8. 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

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

... Y. Kassim

10. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in Zimbabwe

Groundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this information... H. Chinwa, C.N. Kamutando