Método de segmentación de cultivos

Se describe un método de distribución espacial continua de la calidad del fruto dentro de una parcela de cultivo o una finca comercial que permite la segmentación de dicha finca en sectores de distinta calidad, por lo tanto las zonas con mayor precio de mercado pueden ser recolectadas independientemente; permitiendo al agricultor obtener un mapa de calidad completo de sus cultivos previo a la organización de la recolección del fruto.Peer reviewedConsejo Superior de Investigaciones CientíficasA1 Solicitud de patente con informe sobre el estado de la técnic

Use of phenomics tools for decision support in the context of digital agronomy

Trabajo presentado en la 19th Australian Agronomy Conference, celebrada en Wagga Wagga (Australia) del 25 al 29 de agosto de 2019

Irrigation management tools based on emerging remote and proximal sensing technologies

Trabajo presentado en el Seminar "Regione del Veneto: programma per rafforzare la sostenibilità delle produzioni vitivinicole venete e promuovere iniziative di alta formazione per la qualificazione specialistica di figure professionali", celebrado en Legnaro el 23 de noviembre de 2021

Field Phenomics beyond crop breeding: exploring the intersection between remote sensing and crop physiology

COST Action Workshop: Remote sensing and plant phenotyping, online, febrero de 2021

The use of LiDAR in Agriculture: from breeding to precision farming applications

Trabajo presentado en el Seminar "Regione del Veneto: programma per rafforzare la sostenibilità delle produzioni vitivinicole venete e promuovere iniziative di alta formazione per la qualificazione specialistica di figure professionali", celebrado en Legnaro el 23 de noviembre de 2021

Open PhenoLiDAR: An Open Source LiDAR Phenotyping Platform

Trabajo presentado en el 40th EARSeL Symposium (European Remote Sensing-New Solutions for Science and Practice), celebrado en Varsovia del 7 al 10 de junio de 2021

Presentation on the CORDOVA-ET overview, updates and results from validations

Establishing and Operating a Regional Network for Field Measurement of Actual Crop Water Consumption (Evapotranspiration). Project Restitution Workshop. 28-29 november, 2021

Thermal and Narrow-band Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle

17 pages, 18 figures, 4 tables.Two critical limitations for using current satellite sensors in real-time crop management are the lack of imagery with optimum spatial and spectral resolutions and an unfavorable revisit time for most crop stress-detection applications. Alternatives based on manned airborne platforms are lacking due to their high operational costs. A fundamental requirement for providing useful remote sensing products in agriculture is the capacity to combine high spatial resolution and quick turnaround times. Remote sensing sensors placed on unmanned aerial vehicles (UAVs) could fill this gap, providing low-cost approaches to meet the critical requirements of spatial, spectral, and temporal resolutions. This paper demonstrates the ability to generate quantitative remote sensing products by means of a helicopter-based UAV equipped with inexpensive thermal and narrowband multispectral imaging sensors. During summer of 2007, the platform was flown over agricultural fields, obtaining thermal imagery in the 7.5–13- $muhbox{m}$ region (40-cm resolution) and narrowband multispectral imagery in the 400–800-nm spectral region (20-cm resolution). Surface reflectance and temperature imagery were obtained, after atmospheric corrections with MODTRAN. Biophysical parameters were estimated using vegetation indices, namely, normalized difference vegetation index, transformed chlorophyll absorption in reflectance index/optimized soil-adjusted vegetation index, and photochemical reflectance index (PRI), coupled with SAILH and FLIGHT models. As a result, the image products of leaf area index, chlorophyll content $(C_{rm ab})$ , and water stress detection from PRI index and canopy temperature were produced and successfully validated. This paper demonstrates that results obtained with a low-cost UAV system for agricultural applications yielded comparable estimations, if not better, than those obtained by traditional mann- - ed airborne sensors.This work was supported in part by the Spanish Ministry of Science and Education (MEC) under Projects AGL2005-04049, EXPLORAINGENIO AGL2006-26038-E/AGR, and CONSOLIDER CSD2006-67, and in part by Junta de Andalucía—Excelencia AGR-595.Peer reviewe

Método de caracterización de vegetación

Método de caracterización de vegetación. El método objeto de la invención es de utilidad para la determinación de situaciones de estrés hídrico en vegetación. El método está basado en modelos de transferencia radiactiva formados a partir de imágenes térmicas y multiespectrales y su posterior inversión para la obtención de un índice de fotoresistencia química (PRI) teórico a partir del cual se puede determinar la situación de la vegetación comparando el PRI.Peer reviewedConsejo Superior de Investigaciones Científicas (España)B1 Patente sin examen previ