APOLO APOLO , Orly Enrique

Se puede decir que el Patrimonio cultural está compuesto por todas aquellas manifestaciones y elementos de la actividad humana a los que se les asocia un valor primordial, ya que forman parte de la historia e identidad de una región. Actualmente, los ciudadanos están tomando una mayor conciencia sobre la importancia que tiene preservar aquellos...

La comunidad científica afirma que para el 2050 se necesitará un 50% más de alimentos para una población mundial que estará cerca de los 10 billones de personas, lo que provocará una crisis global, la cual plantea la cuestión de si el sistema mundial de producción de alimentos está preparado para estos cambios. Para hacer frente a estos...

Smart farming employs intelligent systems for every domain of agriculture to obtain sustainable economic growth with the available resources using advanced technologies. Deep Learning (DL) is a sophisticated artificial neural network architecture that provides state-of-the-art results in smart farming applications. One of the main tasks in this...

Farmers require accurate yield estimates, since they are key to predicting the volume of stock needed at supermarkets and to organizing harvesting operations. In many cases, the yield is visually estimated by the crop producer, but this approach is not accurate or time efficient. This study presents a rapid sensing and yield estimation scheme...

The leaf area index (LAI) is a biophysical crop parameter of great interest for agronomists and plant breeders. Direct methods for measuring LAI are normally destructive, while indi rect methods are either costly or require long pre- and post-processing times. In this study, a novel deep learning-based (DL) model was developed using RGB...

Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as the direct and indirect methods available are laborious and time-consuming. The recent emergence of high-throughput plant phenotyping platforms has increased the need to develop new phenotyping tools for better decision-making by...

Accurate and early estimation of citrus yields is important for both producers and agricultural cooperatives to be competitive and make informed decisions when selling their products. Yield estimation is key for predicting stock volumes, avoiding stock ruptures and planning harvesting operations. Visual yield estimations have tra ditionally...

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Canopy temperature has been proposed as a relevant variable for crop water stress moni toring. Since crop temperature is highly influenced by the prevailing climatic conditions, it is usually normalized with indices such as the crop water stress index (CWSI). The index requires the use of two baselines that relate canopy temperature under...

The potential of hyperspectral measurements for early disease detection has been inves tigated by many experts over the last 5 years. One of the difficulties is obtaining enough data for training and building a hyperspectral training library. When the goal is to detect disease at a previsi ble stage, before the pathogen has manifested either...

Para conseguir un control racional de malas hierbas es imprescindible la correcta identificación de las especies arvenses en sus estados más precoces. Esta habilidad necesita además un continuo entrenamiento. Por otro lado, el desarrollo de las nuevas tecnologías de la información (bases de datos, sistemas operativos, lenguajes de...

El objetivo de esta obra es ayudar al técnico de campo a reconocer las especies arvenses como primer paso para un manejo racional del problema. Esta obra incluye una colección de fichas identificativas de 165 especies arvenses (35 familias botánicas), pero es solo una parte de los contenidos que están disponibles de forma gratuita a través de...