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AfPCA Proceedings 2024

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KPEMOUA, K
Atiah, K
Omega, S
Abou-Zeid , S
Sawsen, A
Shaddad, S
Biswas, A
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Authors
Omega, S
Akaba, S
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
Gobezie, T.B
Biswas, A
Teye, E
Abinadaw, T
Atiah, K
Amuah, C
Omega, S
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
Aboelkhier, H
Nasrallah, A
Shaddad, S
Buttafuoco, G
Soaud, A
Abou-Zeid , S
Ali, A
Hassan, D
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Software and Mobile Applications
Proximal and Remote Sensing
Policy Support Innovations
Adoption of Precision Agriculture
Robotics, Automation, and Small Farm Mechanization
Precision Nutrient Management
Precision Nutrient Management
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results9 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. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

3. Just a moment; the need for streamlining precision agriculture data in Africa

Precision agriculture (PA) data sources in the era of digital agriculture are diverse in terms of the range of technology options and the types of data they generate. These include proximal sensors, unmanned aerial vehicle (UAV), satellites, farm machinery mounted sensors and robotics to generate static data or real time information (e.g., yield monitoring). Government institutions, scientists and private sectors take the lion’s share in generating PA data at innovation, validation and dissemination... T.B. Gobezie, A. Biswas

4. Feasibility studies on developing farmer friendly rapid in-situ evaluation technique for soil quality in cocoa planation based on pocket-sized near-infrared spectroscopy and chemometrics

Rapid and in-situ determination of soil quality holds a brighter potential for improving food security, food quality and minimizing waste of excessive application of soil amendments with its effect of pollution. In this study a pocket-sized NIR spectroscopy (740 -1070 nm) and chemometrics coupled with mobile phone was used to predict nitrogen (N), phosphorus (P), potassium (K), pH and calcium (Ca2+) in cocoa plantation soils in Ghana. Different partial least square algorithms (Full...

5. 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

6. 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

7. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

8. 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

9. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef