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AfPCA Proceedings 2024

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Amin, M.E
Graff, N
Hanyabui, E
LEE, J
Asante, B
Lare, M
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Authors
Sogbedji, J.M
Lare, M
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Hanyabui, E
Amin, M.E
Abdelfattah, M.A
Mohamed, E.S
Belal, A.A
Nabil, M
Mahmoud, A.G
Hobart, M
Anin-Adjei, E
Hanyabui, E
Badu-Marfo, G
Schirrmann, M
Schiller, N
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Asante, B
Topics
Economics of Precision Agriculture
Precision Agriculture for Field and Plantation Crops
Precision Agriculture for Small Holders
Precision Planting/Harvesting
Proximal and Remote Sensing
Precision Nutrient Management
Precision Water Management
Type
Oral
Poster
Year
2020
2022
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Authors

Filter results7 paper(s) found.

1. Tomato yield and economic performance under organic and mineral fertilizer applications in coastal Togo

Research efforts towards enhancing vegetables production are still needed in Togo. We assessed tomato (Solanum lycopersicum) yield and associated economic returns under three soil fertility management strategies in a 3-yr period study. Three tomato varieties were used including:  MONGAL-F1 (V1), SUMO-F1 (V2) and COBRA 26-F1 (V3). The fertilization regimes were: no fertilizer application as the control (F1), application of 200 kg of N15P15K15 + 100... J.M. Sogbedji, M. Lare

2. 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

3. The Use of Precision Agriculture Tools to Monitor the Growth Performance of Pineapple in Different Soil Management Systems

Pineapple production is important in Ghana as a source of food, raw material for industry and foreign exchange from export, especially to the European Union (EU) market.  In Ghana, pineapple growth and yield assessment are done with field-based measurements and chemometric methods in laboratories, but, collecting primary data in this way is time-consuming, costly, and laborious. Moreover, there are few technically skilled people with specialization in rigorous laboratory methods, and information... E. Hanyabui

4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

5. Photogrammetrically Assessed Smallholder Pineapple Fields in Ghana Using Small Unmanned Aircraft Systems

Ultra-high-resolution imagery taken by small unmanned aircraft systems (sUAS, drones) has been proven beneficial for the monitoring of agricultural crops in conventional farming especially in the context of precision farming. For smallholder pineapple cultivation, the use of sUAS imagery is still sparsely evaluated. However, technical developments in low cost sUAS-sensor combinations make assessments of agricultural areas by service providers more and more affordable for Africa. In this study,... M. Hobart, E. Anin-adjei, E. Hanyabui, G. Badu-marfo, M. Schirrmann, N. Schiller

6. 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

7. Spatial-Temporal Assessment of Drought in the Northern Region, Ghana

... B. Asante