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AfPCA Proceedings 2024

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MATILA, T
Fernández, F.G
OYEDEPO, P
Nigussie, A
Mercatoris, B
Rodrigues, F
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Authors
Dias Paiao, G
Nigon, T.J
Fernández, F.G
Cummings, C
Naeve, S.L
Rodrigues, F
EL-MEJJAOUY, Y
Dumont, B
Vermeulen, P
Oukarroum, A
Mercatoris, B
OYEDEPO, P
Topics
Proximal and Remote Sensing
Keynote
Proximal and Remote Sensing
Type
Oral
Year
2020
2022
2024
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Authors

Filter results4 paper(s) found.

1. 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

2. Remote Sensing: from Plot Towards Landscape Scales

The agricultural research sector is working to develop new technologies and decision support tools to sustainably increase food productivity, ensure global food security and decrease poverty. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become more affordable in recent years. Cameras have become more compact and lighter, with improved spectral and spatial resolutions. The use of incoming light sensors allows for images to be automatically calibrated to surface... F. Rodrigues

3. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves

The assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris

4. Smartsprout Leveraging Iot for Sustainable and Efficient Smart Irrigation Systems in Africa

... P. Oyedepo