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AfPCA Proceedings 2024

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El Allali, A
Omega, S
Ogunnaike, M.G
KPEMOUA, K
Abdellatif, M.A
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Authors
Omega, S
Akaba, S
Omega, S
Belal, A.B
Mohamed, E.S
Jalhoum, M.E
Zahran, M
Abdellatif, M.A
Emam, M.S
Hendway, E.A
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
Ogunnaike, M.G
Onafeso, O.D
Ennaji, O
Vergutz, L
El Allali, A
Topics
Software and Mobile Applications
Robotics, Automation, and Small Farm Mechanization
Precision Agriculture for Small Holders
Precision Nutrient Management
Climate Smart Agriculture
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
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Authors

Filter results6 paper(s) found.

1. Socio-demographic Factors Contributing to Adoption of E-commerce by Small Agribusiness Enterprises in the Upper East Region of Ghana

Technological revolution has become inevitable to development both to develop and developing economies in the 21th century. This revolution has triggered more advance market-base approaches to the transfer of goods and services, and information. This advance market-based approach has used the internet and electronic devices to bring suppliers and buyers more closely than ever before. Therefore, the adoption of E-commerce by Small agribusiness enterprises is inevitable as market expands... S. Omega, S. Akaba

2. MARKET ACCEPTANCE AND WILLINGNESS TO PAY FOR DRONE TECHNOLOGY IN THE APPLICATION OF PESTICIDE FOR THE CONTROL OF FALL ARMYWORM

In Ghana, maize is one of the major staple food crops. Since 2016, it has been plagued by fall armyworm, leaving production capacity below the national average. The introduction of drone technology was to assist farmers to reduce havoc caused by the fall armyworm. The majority of research done in the area of drone technology has focused on the technical and mechanical aspects. This gap gives rise to this study, as the study seeks to; find out the socioeconomic characteristics of maize farmers... S. Omega

3. Using Site-Specific Management Zones for Potato Crop Management, East Nile Delta, Egypt

The field management zones (MZ) delineated using soil electrical conductivity (EC) and topographic parameters   are the basis for site-specific crop management (SSCM). The objective of this paper was to delineation site-specific management zones of 155 feddans (67.2 ha) of a potato  pivot field at East of Nile Delta, Egypt for use in smart farming based on spatial variability of soil and plant properties, yield  and topographic attributes. The salinity measurement in the field... A.B. Belal, E.S. Mohamed, M.E. Jalhoum, M. Zahran, M.A. Abdellatif, M.S. Emam, E.A. Hendway

4. 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

5. Evolving Potentials for Precision Climate-smart Agriculture in Sub-saharan African Countries

Progressively, there is increasing awareness on the significance of agriculture in both adaptation and mitigation to climate change. While adaptation has been typically highlighted in the most vulnerable countries, especially in Africa where the failure to adapt have been noted to exacerbate the dangers of food insecurity, there is limited effort at emphasizing mitigation as the ultimate resolution of the debacle. Climate-smart agriculture (CSA) is critical to achieving development irrespective... M.G. Ogunnaike, O.D. Onafeso

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