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AfPCA Proceedings 2024

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A El-Shirbeny, M
Olupot, G
ORWA, B.O
Ali, A
Opolot, E
Lund, E
MATUMURA, I
Arafat, S.M
NONAMI, K
ANI , S.E
Ndlovu, S
Amujoyegbe, B.J
AKPONIKPE, I.P
Atnafu, O
Coulibaly, O.N
MENSAH, A.T
Malo, S
Adegbayi, R
Teye, E
Dobermann, A
Aguttu , G
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Authors
Bayala, T
Ouattara, I
Visala, A
Malo, S
Teye, E
Abinadaw, T
Atiah, K
Amuah, C
Belal , A
Abd El-Kader, S
Mamdouh , B
A El-Shirbeny, M
Abdellatif1, M
Jalhoum , M
Zahran, M
Mohamed, E.S
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, 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
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
KOUDJEGA, K
GANYO , K.K
ABLEDE, .A
ANI , S.E
AFAWOUBO , K
ANOUMOU , D
ASSIH-FARAM,
MENSAH , A
TCHALLA-KPONDI,
KPEMOUA , K.E
LOMBO , Y
MORIMOTO, E
ARAI, Y
NONAMI, K
ITO, T
Amujoyegbe, B.J
Amao, P
Oyedele, D
Akinpelu, B
Dobermann, A
Saleh, A.M
Arafat, S.M
AbdelRahman, M.A
Fassinou Hotegni, N.V
Godonou, Y.L
Gnanglè, L.M
Coulibaly, O.N
Achigan-Dako, E.G
Onen, P
Opolot, E
Olupot, G
Aguttu , G
TIDJANI, M.A
TOVIHOUDJI, P.G
AKPONIKPE, I.P
VANCLOOSTER, M
Opolot, E
Besigye, D
Musinguzi, P
Alou, I.N
Basamba, T.A
Olupot, G
ORWA, B.O
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Odong, P.C
Olupot, G
Odong, T.L
Mwije, A
Musinguzi, P
Alou, I.N
Basamba, T.A
Ebanyat, P
Opolot, E
Ndlovu, S
ENDRIS, S
Mesfin, T
Atnafu, O
Tamiru, S
Fadairo, O
Durojaiye, A.M
Adegbayi, R
Topics
Applications for UAVs
Adoption of Precision Agriculture
Decision Support Systems
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
Plenary
Mapping and Geostatistics
Adoption of Precision Agriculture
Precision Water Management
Precision Agriculture for Small Holders
Precision Nutrient Management
Precision Agriculture for Tree Crops
Robotics, Automation, and Small Farm Mechanization
Remote and Proximal Sensing
Small Holders and Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
Home » Authors » Results

Authors

Filter results21 paper(s) found.

1. Cashew Trees Detection and Yield Analysis using UAV-based Map

In this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyse the yield of the cashew farm. The proposed method uses images analysis to find the tops of trees, to merge different tops located on the same tree, and to segment individual tree. The segmented trees are used in a deep learning framework to know the exact location of cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo

2. 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...

3. Decision Support System for Precision Agriculture management Case study : El Salihiya –east Nile delta, Egypt

.Soil is a complex mixture of living organisms and organic material, along with soil minerals. the main objective  of this work is develop a new methods to improve the agricultural management .The current study relies on developing a decision-making model for agricultural operations to manage potato crops in the El Salihiya area using field data,laboratory analysis and field sensor measurements. The precision agriculture decision support system entitled (EGYPADS) was designed and developed... A. Belal , S. abd el-kader, B. Mamdouh , M. A el-shirbeny, M. abdellatif1, M. Jalhoum , M. Zahran, E.S. Mohamed

4. 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

5. 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

6. 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

7. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approach

Inadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, 42...

8. 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

9. Nutrient Quality Studies of Fluted Pumpkin (Telfairia Occidentalis Hook. F) Leaves as Influence by Fertilizer Micro-dosing and Time

The nutrient qualities of vegetables have been noted to be affected by agronomic practices. The study evaluated the effect of fertilizer micro-dosing and time of application on nutrient quality of fluted pumpkin. The field experiment was carried out during 2017/2018 cropping season at the Teaching and Research Farm, Obafemi Awolowo University (O.A.U), Ile-Ife, situated within the forest zone (latitude 070 28’N and longitude 040 33’East and 224 m above sea level). The experiment was...

10. Imagining Precision Farming in Africa

Africa needs its own and unique Green Revolution now, but it can also take advantage of many lessons learned all over the world. Precision farming is much more than the application of advanced, expensive technologies for managing soils and crops on a commercial scale. In the African context, it is all about better agronomy at any scale, including small and medium-size farms. Many ingredients for that exist already, whereas others still need to find their way into scalable business solutions... A. Dobermann

11. A Suitability Approach for Land Assessment of New Reclamation Areas Using Geomatics

The study aims to develop a system to assess land suitability for agriculture use in the Arid Western Fringes of the Nile Delta. This is based on the fact that the selection of optimal sites for agricultural use is a prerequisite for productive operation and economic feasibility. This is especially true in arid regions due to the scarcity of such suitable land. New approach was implemented to use environmental and terrestrial factors; i.e., criteria of soil characteristics, climate and salinity... A.M. saleh, S.M. Arafat, M.A. Abdelrahman

12. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin Republic

Cowpea [(Vigna Unguiculata (L.) Walpers] is among the most preferred and consumed legumes in West Africa and grown by many smallholder farmers. The crop has huge potential, is easy to grow and constitute a source of income of many actors involved in different value chains. Unfortunately, despite many interventions which aimed at promoting the crop in West Africa mainly Benin, areas under cowpea crop decrease over the years along with the loss of cowpea-based products. Such problem is... N.V. Fassinou hotegni, Y.L. Godonou, L.M. Gnanglè, O.N. Coulibaly, E.G. Achigan-dako

13. Optimizing Water Use Efficiency in Flood Irrigation Systems in Uganda

There is growing demand for water across different sectors of production. Yet the extent of water wastage to furnish inefficient irrigation systems especially in flood irrigated rice systems, is not known. In developing countries and in Uganda particularly, most irrigation scheduling in the irrigation schemes is based on rotational system rather than crop water needs. In Doho Rice Irrigation Scheme (DRIS) in eastern Uganda for example, farmers’ plots receive up to 50mm ponding of irrigation... P. Onen, E. Opolot, G. Olupot, G. Aguttu

14. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.

Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding.  Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster

15. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in Uganda

Water and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for crop... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot

16. Integrated Packages Incorporating Reduced Tillage, Residue Retention and Cropping System Influence Green Gram Growth and Yield

Reduced tillage, residue retention and intercropping are factors influencing how rain fed systems of cropping are productive as well as sustainable. Green gram as well as sorghum is the main crops grown by small-scale who have insufficient resources, and the produce is used for home consumption. A field experiment was conducted to evaluate green gram crop response to reduced tillage, residue retention and intercropping with sorghum in the dry-lands environments in Kenya. The aim of the study was... B.O. Orwa

17. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps

Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum

18. 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

19. The Future of Farming: Bringing Biophotonics and Machine Learning to Revolutionize Agriculture

The future of farming is set to be revolutionized by biophotonics and machine learning. Biophotonics is the study of the interaction of light and living matter, and machine learning is a form of artificial intelligence that allows computers to learn from data. Together, these two technologies will allow for more precise and efficient farming, as well as greater yields and less wastage. Biophotonics will allow for more precise targeting of crops with pesticides and herbicides, as well as more efficient... S. Ndlovu

20. 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 difference... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru

21. Use of Digital Extension Tools for Agricultural Information Management Among Cassava Value Chain Actors in Ibadan Metropolis, Oyo State, Nigeria

Poor coverage of farmers by extension services and other limitations necessitates adapting the agricultural process to new opportunities, including digital extension. This is more important for cassava value chain actors given the recognition of the crop for food security in Nigeria and its widespread promotion by several local and regional development interventions.  Therefore, the use of digital extension tools for agricultural information management among cassava value chain actors in... O. Fadairo, A.M. Durojaiye, R. Adegbayi