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Apolo-Apolo, E
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Authors
Perez-Ruiz, M
Apolo-Apolo, E
Egea, G
Martinez-Guanter, J
Marin-Barrero, C
Pérez-Ruiz, M
Sánchez-Fernández, L
Nizzoli, A
Apolo-Apolo, E
Martínez-Guanter, J
Topics
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Precision Crop Protection, Pest, and Plant Health
Type
Oral
Year
2018
2026
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1. Feasibility of Estimating the Leaf Area Index of Maize Traits with Hemispherical Images Captured from Unmanned Aerial Vehicles

Feeding a global population of 9.1 billion in 2050 will require food production to be increased by approximately 60%. In this context, plant breeders are demanding more effective and efficient field-based phenotyping methods to accelerate the development of more productive cultivars under contrasting environmental constraints. The leaf area index (LAI) is a dimensionless biophysical parameter of great interest to maize breeders since it is directly related to crop productivity. The LAI is defined... M. Perez-ruiz, E. Apolo-apolo, G. Egea, J. Martinez-guanter, C. Marin-barrero

2. Autonomous Robotic Spraying System for Weed Management in Woody Perennial Crops

Weed management in woody crops remains a major agronomic, economic, and environmental challenge. In orchard environments, tree trunks, low canopies, and narrow intra-row spacing severely restrict conventional machinery access to the under-canopy zone. As a result, weed control near tree trunks remains predominantly manual. This limitation coincides with an increasing scarcity of agricultural labor, leading to higher production costs and delays in weed... M. Pérez-ruiz, L. Sánchez-fernández, A. Nizzoli, E. Apolo-apolo, J. Martínez-guanter