Zobrazeno 1 - 10
of 1 322
pro vyhledávání: '"Multispectral data"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12797-12810 (2024)
The availability of high-resolution satellite images has accelerated the creation of new datasets designed to tackle broader remote sensing (RS) problems. Although popular tasks, such as scene classification, have received significant attention, the
Externí odkaz:
https://doaj.org/article/340a1503e52e4642a86d972f6b890019
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 240-258 (2024)
Almonds are becoming a central element in the gastronomic and food industry worldwide. Over the last few years, almond production has increased globally. Portugal has become the third most important producer in Europe, where this increasing trend is
Externí odkaz:
https://doaj.org/article/a22566370680428d96453368ca5266c9
Publikováno v:
Drones, Vol 8, Iss 8, p 407 (2024)
In this study, we propose a scalable deep learning approach to automated phenotyping using UAV multispectral imagery, exemplified by yellow rust detection in winter wheat. We adopt a high-granularity scoring method (1 to 9 scale) to align with intern
Externí odkaz:
https://doaj.org/article/01e3d70bdb7149c7b42f82f5549a6c4e
Autor:
Leilson Ferreira, Joaquim J. Sousa, José. M. Lourenço, Emanuel Peres, Raul Morais, Luís Pádua
Publikováno v:
Sensors, Vol 24, Iss 16, p 5183 (2024)
Understanding geometric and biophysical characteristics is essential for determining grapevine vigor and improving input management and automation in viticulture. This study compares point cloud data obtained from a Terrestrial Laser Scanner (TLS) an
Externí odkaz:
https://doaj.org/article/ef4dccd106bd4673a47437271d18f09c
Publikováno v:
Plants, Vol 13, Iss 13, p 1842 (2024)
The accurate instance segmentation of individual crop plants is crucial for achieving a high-throughput phenotypic analysis of seedlings and smart field management in agriculture. Current crop monitoring techniques employing remote sensing predominan
Externí odkaz:
https://doaj.org/article/4ce4a09e925b4d50a93d04818c9a8547
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2467 (2024)
Understanding and accurately predicting stomatal conductance in almond orchards is critical for effective water-management strategies, especially under challenging climatic conditions. In this study, machine-learning (ML) regression models trained on
Externí odkaz:
https://doaj.org/article/04c11eba1cc645fa97e52ceecaa6d7a5
Autor:
Christina Eisfelder, Bruno Boemke, Ursula Gessner, Patrick Sogno, Genanaw Alemu, Rahel Hailu, Christian Mesmer, Juliane Huth
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 866 (2024)
Cropland monitoring is important for ensuring food security in the context of global climate change and population growth. Freely available satellite data allow for the monitoring of large areas, while cloud-processing platforms enable a wide user co
Externí odkaz:
https://doaj.org/article/e751282a4acb4ac2a65e8244c851e616
Autor:
Yujie Chen, Ke Yao, Beibei Zhu, Zihao Gao, Jie Xu, Yucheng Li, Yimin Hu, Fei Lin, Xuesheng Zhang
Publikováno v:
Water, Vol 16, Iss 4, p 553 (2024)
Remote sensing technology applications for water quality inversion in large rivers are common. However, their application to medium/small-sized water bodies within rural areas is limited due to the low spatial resolution of remote sensing images. In
Externí odkaz:
https://doaj.org/article/3925f6e0ba794d8eb3292574b1843afa
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2861 (2023)
Plant counting is an important part in precision agriculture (PA). The Unmanned Aerial Vehicle (UAV) becomes popular in agriculture because it can capture data with higher spatiotemporal resolution. When it is equipped with multispectral sensors, mor
Externí odkaz:
https://doaj.org/article/953cd2c05b14412792cd89795362f440
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5578 (2023)
Hyperspectral remote sensing technology has been widely used in water quality monitoring. However, while it provides more detailed spectral information for water quality monitoring, it also gives rise to issues such as data redundancy, complex data p
Externí odkaz:
https://doaj.org/article/fd6f57346e794451a7920f1932f88f80