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Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, Michele Fornari, Paulo Grellmann, Telmo Jorge Carneiro Amado, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio and José Luís Trevizan Chiomento
In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensabl...
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José Luis Hernández-Martínez, Jorge Adrián Perera-Burgos, Gilberto Acosta-González, Jesús Alvarado-Flores, Yanmei Li and Rosa María Leal-Bautista
Remote sensing is an invaluable research tool for the analysis of marine and terrestrial water bodies. However, it has some technical limitations in waters with oligotrophic conditions or close to them due to the low spectral response of some water param...
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Katerina Vatitsi, Sofia Siachalou, Dionissis Latinopoulos, Ifigenia Kagalou, Christos S. Akratos and Giorgos Mallinis
Freshwater ecosystems provide an array of provisioning, regulating/maintenance, and cultural ecosystem services. Despite their crucial role, freshwater ecosystems are exceptionally vulnerable due to changes driven by both natural and human factors. Water...
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Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, Erato Lazarou, Dionissios Kalivas and Spyros Fountas
Going beyond previous work, this paper presents a systematic literature review that explores the deployment of satellites, drones, and ground-based sensors for yield prediction in agriculture. It covers multiple aspects of the topic, including crop types...
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Nokukhanya Mthembu, Romano Lottering and Heyns Kotze
Leaf area index (LAI) is an important parameter in plant ecophysiology; it can be used to quantify foliage directly and as a measure of the photosynthetic active area and, thus, the area subject to transpiration in vegetation. The aim of this paper was t...
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Dorijan Radocaj, Ante ?iljeg, Rajko Marinovic and Mladen Juri?ic
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To provide a concise and up-to-date review of vegetation indices in precision agriculture, this study focused...
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Nilufar Karimli and Mahmut Oguz Selbesoglu
Concerns about the expanding human population?s adequate supply of food draw attention to the field of Food Security. Future-focused analysis and processing of agricultural data not only improve planning capabilities in this field but also enables the re...
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Dorijan Radocaj, Ivan Pla?cak and Mladen Juri?ic
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent improvements in GNSS components (GPS, GLONASS, Galileo, and BeiDou) and ...
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Weison Lin, Yajun Zhu and Tughrul Arslan
Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites. Instead of using a general-purpose processor (GPP) or graphic processin...
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András Tamás, Elza Kovács, Éva Horváth, Csaba Juhász, László Radócz, Tamás Rátonyi and Péter Ragán
Remote sensing is an efficient tool to detect vegetation heterogeneity and dynamics of crop development in real-time. In this study, the performance of three maize hybrids (Fornad FAO-420, Merida FAO-380, and Corasano FAO-490-510) was monitored as a func...
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