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AfPCA Proceedings 2024

Proceedings

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Shaibu, I
Singh, P
Kamutando, C.N
SATO, S
Gerard , B
Abban-Baidoo, E
Njoroge, S
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Authors
Abban-Baidoo, E
Shisanya , C.A
Macharia, A.N
Frimpong, K.A
Marschner, B
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Crouch, J
Shephard, K
Miller, M
Collinson, J
Singh, P
Pypers, P
van den Bosch, R
van Beek, C
Chernet, M
Aston, S
Agbemabiese, Y.K
Abubakari, P
Dzomeku, P.K
Shaibu, I
choukri, M
Laamrani , A
simonneaux , V
Gerard , B
Belaqziz, S
Chehbouni, A
misbah, K
Mcnairn, H
Chinwa, H
Kamutando, C.N
Topics
Precision Nutrient Management
Precision Agriculture for Field and Plantation Crops
Plenary
Precision Water Management
Mapping and Geostatistics
Climate Smart Agriculture
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results6 paper(s) found.

1. Biochar and/or Compost for Soil Quality and Maize Yield Improvement in an Acidic Ferralsol Soil in Kenya.

The rapidly increasing global population, climate change and dwindling resources have made it very difficult to meet global food demand. To address the issue of food insecurity, sustainable intensification of agriculture (SIA) has been proposed. However, the consequences of poorly managed agricultural intensification can negatively affect the ecosystem. Biochar and compost application has been widely recommended as a highly promising soil fertility replenishment option to promote sustainable agriculture....

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. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van Den Bosch, C. Van Beek, M. Chernet, S. Aston

4. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)

Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision.  The study sort to calibrate and validate the... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu

5. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.

African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through  the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. Simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn

6. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in Zimbabwe

Groundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this information... H. Chinwa, C.N. Kamutando