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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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Zisis Tsiropoulos, Evangelos Skoubris, Spyros Fountas, Ioannis Gravalos and Theofanis Gemtos
Politicians and the general public are concerned about climate change, water scarcity, and the constant reduction in agricultural land. Water reserves are scarce in many regions in the world, negatively affecting agricultural productivity, which makes it...
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Borja Espejo-Garcia, Ioannis Malounas, Eleanna Vali and Spyros Fountas
In the past years, several machine-learning-based techniques have arisen for providing effective crop protection. For instance, deep neural networks have been used to identify different types of weeds under different real-world conditions. However, these...
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Evangelos Anastasiou, Athanasios Balafoutis, Nikoleta Darra, Vasileios Psiroukis, Aikaterini Biniari, George Xanthopoulos and Spyros Fountas
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