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AfPCA Proceedings 2024

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ABLEDE , K.A
Danquah, A
Majaliwa, M.J
Farg, E
Bayala, T
Baram, S
Madukwe, K.D
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Authors
AbdelRahman, M.A
Saleh, A.M
El Sharkawy, M.M
Farg, E
Arafat, S.M
Bayala, T
Ouattara, I
Visala, A
Malo, S
Yamungu, A.B
Egeru, A
Majaliwa, M.J
Dossa, B.M
Ikuenobe, E.C
Madukwe, K.D
Ekhator, F
Aduramigba, V.M
Osayande, P.E
Solomon, S
Okoye, N.M
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
Rave, E
Ohana, N
Linker, R
Termin, D
Beryozkin, A
Paz-Kagan, T
Baram, S
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
Topics
Mapping and Geostatistics
Applications for UAVs
Climate Smart Agriculture
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
On-Farm Experimentation
Type
Oral
Poster
Year
2020
2022
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Authors

Filter results7 paper(s) found.

1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS Environment

Soil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat

2. 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

3. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGO

Climate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), mid-century... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa

4. Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria

Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria   *Ekhator F1., Osayande P1.,  Aduramigba-Modupe V.O2., Solomon O1., and  Ikuenobe C.E1. 1Nigerian Institute for Oil Palm Research (NIFOR) P.M.B 1030, Benin City, Edo State 2Institute of Agricultural Research and Training, Obafemi Awolowo University, Ibadan, Oyo... E.C. Ikuenobe, K.D. Madukwe, F. Ekhator, V.M. Aduramigba, P.E. Osayande, S. Solomon, N.M. Okoye

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. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus Orchards

Integrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram

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

... Y. Kassim