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AfPCA Proceedings 2024

Proceedings

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Obot, A
Fassinou Hotegni, N.V
Namatsheve, T
Persson, K
OKAFOR, B.N
Kayad, A
Nigon, T.J
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Authors
Charvat, K
Miderho , C
Obot, A
Löytty, T
Kubickova, H
Dias Paiao, G
Nigon, T.J
Fernández, F.G
Cummings, C
Naeve, S.L
Kayad, A
Sozzi, M
Pirotti, F
Marinello, F
Sartori, L
Gatto, S
OKAFOR, B.N
OKAFOR, B.N
Aduaramigba, V
Denton, O
Namatsheve, T
Söderström, M
Persson, K
Fassinou Hotegni, N.V
Godonou, Y.L
Gnanglè, L.M
Coulibaly, O.N
Achigan-Dako, E.G
Topics
Education and Outreach Innovations
Proximal and Remote Sensing
Satellite Imagery
Precision Agriculture for Field and Plantation Crops
Proximal and Remote Sensing
Adoption of Precision Agriculture
Type
Poster
Oral
Year
2020
2022
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Authors

Filter results7 paper(s) found.

1. SmartAfriHub for SmartAgriculture capacity buidling in Africa

Digital Innovation Hubs (DIH) are multi-actor ecosystems that support farming communities in their digital transformation by providing a broad variety of services from a one-stop shop. DIHs purpose is to  provide a social space for community of practices;  provide access to digital technologies and competencies; provide access to infrastructure and tests digital innovations (“test before invest”); provide development playground... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova

2. Estimating greensnap yield damage with canopy reflectance: a case study

Grain yield reduction caused by storm-induced plant breakage (green snap) occurs often in corn fields. With climate change and an increasing frequency in the occurrence of extreme weather events, it is essential to develop methods that can accurately estimate green snap damage, so growers can be properly compensated by insurance companies for yield loss.  Because plant breakage also affects crop canopy reflectance, this case study aimed to characterize the changes in crop canopy reflectance... G. Dias paiao, T.J. Nigon, F.G. Fernández, C. Cummings, S.L. Naeve

3. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture Applications

Currently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto

4. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agriculture

Citrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling depth... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton

5. Maize-cowpea intercropping as an ecological intensification option for low input systems in sub-humid Zimbabwe: productivity, biological N2-fixation and grain mineral content.

Poor soil fertility and erratic rainfall constrain crop production in rain-fed smallholder farming systems in sub-Saharan Africa. Integration of cowpea, a drought tolerant and N2-fixing crop into maize-based cropping systems is a risk-averse strategy that also improves N cycling.  A field experiment was carried out during 2017/18 and 2018/19 cropping seasons in Zimbabwe to assess the effect of intercropping and fertilizer micro doses on productivity, N2-fixation and grain mineral content.... T. Namatsheve

6. From Drone to Satellite – Does It Work?

Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson

7. 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