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Angar, H
Abdelghafour, F.Y
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Authors
Abdelghafour, F.Y
Rosu, R
Keresztes, B
Germain, C
Da Costa, J
MECHRI, M
Alshihabi, O
Angar, H
Nouiri, I
Soderstrom, M
Persson, K
Phillips, S
Topics
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
In-Season Nitrogen Management
Type
Oral
Poster
Year
2018
2024
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1. Joint Structure and Colour Based Parametric Classification of Grapevine Organs from Proximal Images Through Several Critical Phenological Stages

Proximal colour imaging is the most time and cost-effective automated technology to acquire high-resolution data describing accurately the trellising plane of grapevine. The available textural information is meaningful enough to provide altogether the assessment of additional agronomic parameters that are still estimated either manually or with dedicated and expensive instrumentations. This paper proposes a new framework for the classification of the different organs visible in the trellising... F.Y. Abdelghafour, R. Rosu, B. Keresztes, C. Germain, J. Da costa

2. In-season Nitrogen Management for Wheat in Tunisia Using Proximal and Remote Sensing

While the cereal sector represents an important factor in the social and economic farming structure in Tunisia, the national wheat average yield is very low, estimated to 1.4 t/ha. However, the frequent spreading of nitrogen in large quantities to raise yields can lead to low use efficiency of N and groundwater pollution. In Sweden, digital tools using proximal and remote sensing for variable rate application (VRA) of nutrients were developed and widely used by farmers to optimize fertilization... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Soderstrom, K. Persson, S. Phillips