Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jorge Martinez-Guanter"'
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3621 (2022)
Precision Agriculture face the challenge of feeding an increasing population, maximizing yield while optimizing inputs [...]
Externí odkaz:
https://doaj.org/article/2084cbec0888436c891da494927397a9
Autor:
Jorge Martinez-Guanter, Ángela Ribeiro, Gerassimos G. Peteinatos, Manuel Pérez-Ruiz, Roland Gerhards, José María Bengochea-Guevara, Jannis Machleb, Dionisio Andújar
Publikováno v:
Sensors, Vol 19, Iss 13, p 2883 (2019)
Plant modeling can provide a more detailed overview regarding the basis of plant development throughout the life cycle. Three-dimensional processing algorithms are rapidly expanding in plant phenotyping programmes and in decision-making for agronomic
Externí odkaz:
https://doaj.org/article/8b1f184988fc4c3d9e15b435abbc735e
Autor:
Jorge Martinez Guanter
Publikováno v:
Manuali – Scienze Tecnologiche ISBN: 9788855180443
Manuali – Scienze Tecnologiche
Manuali – Scienze Tecnologiche
Soil and crops, as biosystems, are heterogeneous and can present (or not) high variability. To properly manages then information is required. In this respect, the latest advances in computing and electronics applied to agricultural have allowed colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85d781fe884bad72f851040af1d009cc
https://doi.org/10.36253/978-88-5518-044-3.56
https://doi.org/10.36253/978-88-5518-044-3.56
Publikováno v:
Manuali – Scienze Tecnologiche ISBN: 9788855180443
Unmanned Aerial Vehicles (UAVs) are becoming a common tool in Precision Agriculture. Combined with different sensors and devices, UAVs can be capturing high geo-referenced resolution images and enable the acquisition of real-time crop-related data. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25925c5c9d63c47192c8192b8fb50d74
https://doi.org/10.36253/978-88-5518-044-3.18
https://doi.org/10.36253/978-88-5518-044-3.18
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
The increasing demand for optimizing the use of agricultural resources will require the adoption of cutting-edge technologies and precision farming management. Unmanned Aerial Vehicle (UAV) sprayers seem promising due to their potential to perform pr
Externí odkaz:
https://doaj.org/article/4dfa7051ffca4b6f88a363d117b3e4da
Autor:
Diego José Gallardo-Romero, Orly Enrique Apolo-Apolo, Jorge Martínez-Guanter, Manuel Pérez-Ruiz
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3131 (2023)
Variable rate application (VRA) is a crucial tool in precision agriculture, utilizing platforms such as Google Earth Engine (GEE) to access vast satellite image datasets and employ machine learning (ML) techniques for data processing. This research i
Externí odkaz:
https://doaj.org/article/a8a13d01f2a24d3ea9ac99a9c1dd3aae
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
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 n
Externí odkaz:
https://doaj.org/article/98242dd2dce3422fbc02d3762bd06d6e
Autor:
Thomas Bournaris, Manuela Correia, Alessandro Guadagni, Jeremy Karouta, Anne Krus, Stefania Lombardo, Dimitra Lazaridou, Efstratios Loizou, José Rafael Marques da Silva, Jorge Martínez-Guanter, Anastasios Michailidis, Stefanos Nastis, Aikaterini Paltaki, Maria Partalidou, Manuel Pérez-Ruiz, Ángela Ribeiro, Constantino Valero, Marco Vieri
Publikováno v:
Agronomy, Vol 12, Iss 2, p 269 (2022)
This paper set out to explore the precision agriculture (PA)-training needs of students studying in agricultural universities in the Euro-Mediterranean region (Greece, Italy, Portugal and Spain). SPARKLE is a Knowledge Alliance Project, funded by the
Externí odkaz:
https://doaj.org/article/7f4d63f6e38346a6a45d2c0fc260f9f8
Publikováno v:
Agronomy, Vol 10, Iss 2, p 175 (2020)
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 platf
Externí odkaz:
https://doaj.org/article/f4bb3e222c9144c08a6592501e370024
Autor:
Manuel Pérez-Ruiz, Pilar Rallo, M. Rocío Jiménez, Miguel Garrido-Izard, M. Paz Suárez, Laura Casanova, Constantino Valero, Jorge Martínez-Guanter, Ana Morales-Sillero
Publikováno v:
Sensors, Vol 18, Iss 4, p 1242 (2018)
New super-high-density (SHD) olive orchards designed for mechanical harvesting using over-the-row harvesters are becoming increasingly common around the world. Some studies regarding olive SHD harvesting have focused on the effective removal of the o
Externí odkaz:
https://doaj.org/article/1bc4ac66674d4b06b4927d578cb0dbe6