Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Matteo G. Ziliani"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing spatiotemporal insights into precision-level attributes such as crop water use, ve
Externí odkaz:
https://doaj.org/article/b01523948fdc429896379d4905ff8851
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Earth observation has traditionally required a compromise in data collection. That is, one could sense the Earth with high spatial resolution occasionally; or with lower spatial fidelity regularly. For many applications, both frequency and d
Externí odkaz:
https://doaj.org/article/8519aa2800744d23aae15853719398b2
Autor:
Kasper Johansen, Mitchell J. L. Morton, Yoann Malbeteau, Bruno Aragon, Samer Al-Mashharawi, Matteo G. Ziliani, Yoseline Angel, Gabriele Fiene, Sónia Negrão, Magdi A. A. Mousa, Mark A. Tester, Matthew F. McCabe
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Biomass and yield are key variables for assessing the production and performance of agricultural systems. Modeling and predicting the biomass and yield of individual plants at the farm scale represents a major challenge in precision agriculture, part
Externí odkaz:
https://doaj.org/article/85accfd2aeb94fe187ccb8c45f756f7d
Autor:
Kasper Johansen, Mitchell J. L. Morton, Yoann M. Malbeteau, Bruno Aragon, Samir K. Al-Mashharawi, Matteo G. Ziliani, Yoseline Angel, Gabriele M. Fiene, Sónia S. C. Negrão, Magdi A. A. Mousa, Mark A. Tester, Matthew F. McCabe
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
With salt stress presenting a major threat to global food production, attention has turned to the identification and breeding of crop cultivars with improved salt tolerance. For instance, some accessions of wild species with higher salt tolerance tha
Externí odkaz:
https://doaj.org/article/4aeef2a23da4425583753e42db56d7ad
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 2007 (2018)
Monitoring the development of vegetation height through time provides a key indicator of crop health and overall condition. Traditional manual approaches for monitoring crop height are generally time consuming, labor intensive and impractical for lar
Externí odkaz:
https://doaj.org/article/dff6d339f195416fbbf1b6e63ef79a5e
Sustainable water use in agriculture, while ensuring high yield returns, is key to tackling challenges imposed by climate change and population growth. Knowing the crop water status within the field allows for optimized water consumption by matching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22d2d7c5817d3a1335b3fd836f55073c
https://doi.org/10.5194/egusphere-egu23-16403
https://doi.org/10.5194/egusphere-egu23-16403
Autor:
Trenton E. Franz, Matthew F. McCabe, Matteo G. Ziliani, B. Aragon, Justin Sheffield, Rasmus Houburg, Ibrahim Hoteit, M. U. Altaf, Yang Lu
Accurate early season predictions of crop yield at the within-field scale can be used to address a range of crop production, management, and precision agricultural challenges. While the remote sensing of within-field insights has been a research goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6491d8793882a761f5f67674e4a719d9
https://eprints.soton.ac.uk/471519/
https://eprints.soton.ac.uk/471519/
Publikováno v:
IGARSS
In recent years, there has been a push to increase agricultural productivity together with water efficiency. The most viable means to achieve this goal is by employing remote sensing technologies. Currently, multiple satellite platforms can provide t
Precision agriculture needs accurate information on crop water use (via evaporation) at high spatiotemporal resolutions. Conventional satellite missions have traditionally required a compromise between having high spatial resolution retrievals occasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18833205fd5a264d3ef14d104e2bbc6c
https://doi.org/10.5194/egusphere-egu21-13248
https://doi.org/10.5194/egusphere-egu21-13248
Autor:
Ibrahim Hoteit, Matteo G. Ziliani, B. Aragon, Justin Sheffield, Trenton E. Franz, Matthew F. McCabe
Assimilating biophysical metrics from remote sensing platforms into crop-yield forecasting models can increase overall model performance. Recent advances in remote sensing technologies provide an unprecedented resource for Earth observation that has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94fa3b886a88d8e3909d53e4506b4920
https://doi.org/10.5194/egusphere-egu21-12357
https://doi.org/10.5194/egusphere-egu21-12357