Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Amirhossein Hassanzadeh"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4027-4044 (2022)
Leaf area index (LAI) is an established structural variable that reflects the three-dimensional (3-D) leaf layering of vegetation in response to environmental inputs. In this context, unmanned aerial system (UAS) based methods present a new approach
Externí odkaz:
https://doaj.org/article/dbcdd888b94d4d8dbc253cd89035f096
Autor:
Mohammad S. Saif, Robert Chancia, Sarah Pethybridge, Sean P. Murphy, Amirhossein Hassanzadeh, Jan van Aardt
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 794 (2023)
New York state is among the largest producers of table beets in the United States, which, by extension, has placed a new focus on precision crop management. For example, an operational unmanned aerial system (UAS)-based yield forecasting tool could p
Externí odkaz:
https://doaj.org/article/1ae52a1162eb4c43b7566c1e8d050eed
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3975 (2021)
The use of small unmanned aerial system (UAS)-based structure-from-motion (SfM; photogrammetry) and LiDAR point clouds has been widely discussed in the remote sensing community. Here, we compared multiple aspects of the SfM and the LiDAR point clouds
Externí odkaz:
https://doaj.org/article/99c8678353c5436fbaf2d8dbe73f2554
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3241 (2021)
Accurate, precise, and timely estimation of crop yield is key to a grower’s ability to proactively manage crop growth and predict harvest logistics. Such yield predictions typically are based on multi-parametric models and in-situ sampling. Here we
Externí odkaz:
https://doaj.org/article/bd2e5fbe1daf4bb2b718ecd13aa2002b
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3809 (2020)
The agricultural industry suffers from a significant amount of food waste, some of which originates from an inability to apply site-specific management at the farm-level. Snap bean, a broad-acre crop that covers hundreds of thousands of acres across
Externí odkaz:
https://doaj.org/article/0fe532da61324c42bb73a37d693cd1e6
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
Remote Sensing; Volume 13; Issue 19; Pages: 3975
Remote Sensing, Vol 13, Iss 3975, p 3975 (2021)
Remote Sensing, Vol 13, Iss 3975, p 3975 (2021)
The use of small unmanned aerial system (UAS)-based structure-from-motion (SfM; photogrammetry) and LiDAR point clouds has been widely discussed in the remote sensing community. Here, we compared multiple aspects of the SfM and the LiDAR point clouds
Autor:
Sarah J. Pethybridge, J. A. N. van Aardt, Julie R. Kikkert, D. Cross, Sean P. Murphy, Amirhossein Hassanzadeh
Publikováno v:
IGARSS
Yield assessment in broadacre crops is often base on time-consuming and labor-intensive approximations. However, the emergence of unmanned aerial systems (UAS) has allowed for rapid and cost-effective data acquisition. We evaluated red beet plant cou
Publikováno v:
IGARSS
The determination of structural description of crops could contribute to precision agriculture applications, such as yield assessments. However, an efficient and reliable automatic system for evaluating key structural descriptors is still lacking. Un