Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Haris Ahmad Khan"'
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28487- (2024)
In this study, we assess the feasibility of using Fourier Transform Infrared Photoacoustic Spectroscopy (FTIR-PAS) to predict macro- and micro-nutrients in a diverse set of manures and digestates. Furthermore, the prediction capabilities of FTIR-PAS
Externí odkaz:
https://doaj.org/article/2245984f2e774eea97f67615da696766
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3019 (2024)
Unmanned aerial vehicles (UAVs) equipped with multispectral cameras offer great potential for applications in precision agriculture. A critical challenge that limits the deployment of this technology is the varying ambient illumination caused by clou
Externí odkaz:
https://doaj.org/article/2b74200fad55495db6ae0910f88d3aee
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25360- (2024)
In recent years, dynamic texture classification has become an important task for computer vision. This is a challenging task due to the unknown spatial and temporal nature of dynamic texture. To overcome this challenge, we investigate the potential o
Externí odkaz:
https://doaj.org/article/349378da6cca46408aed856c54b9e5e6
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-16 (2023)
Abstract Background The advancements in unmanned aerial vehicle (UAV) technology have recently emerged as an effective, cost-efficient, and versatile solution for monitoring crop growth with high spatial and temporal precision. This monitoring is usu
Externí odkaz:
https://doaj.org/article/3cb39b7ebc2743b0adf2def016174e11
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/2fa1d3261cd846959218e574ca0e47af
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107964- (2022)
This article presents a dataset of hyperspectral images of handwriting samples collected from 54 individuals. The purpose of the presented dataset is to further explore the use of hyperspectral imaging in document image analysis and to benchmark the
Externí odkaz:
https://doaj.org/article/2fb449e4a7a84aaf8153d2e46847c208
Publikováno v:
Sensors, Vol 22, Iss 15, p 5919 (2022)
Application of bio-based fertilizers is considered a practical solution to enhance soil fertility and maintain soil quality. However, the composition of bio-based fertilizers needs to be quantified before their application to the soil. Non-destructiv
Externí odkaz:
https://doaj.org/article/46f031b4962f4b38ab4491fa5a4d3f09
Autor:
Haris Ahmad Khan, Sofiane Mihoubi, Benjamin Mathon, Jean-Baptiste Thomas, Jon Yngve Hardeberg
Publikováno v:
Sensors, Vol 18, Iss 7, p 2045 (2018)
We present a dataset of close range hyperspectral images of materials that span the visible and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in Laboratory). The data is intended to provide high spectral and spatial resolut
Externí odkaz:
https://doaj.org/article/2dd8074825d24117ad6f50e28b3e35a1
Publikováno v:
Aquaculture, 566
Aquaculture 566 (2023)
Aquaculture 566 (2023)
Accurate measurements of breeding traits on individuals are critical in aquaculture for obtaining breeding values and tracking the progress of the breeding program. Modern breeding programs prioritize not only production traits but also complex trait
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358f3ba6bf0a6563a39df4dfa5eeb832
https://research.wur.nl/en/publications/an-analytical-framework-to-predict-slaughter-traits-from-images-i
https://research.wur.nl/en/publications/an-analytical-framework-to-predict-slaughter-traits-from-images-i
Autor:
Wayesh Qarony, Haris Ahmad Khan, Mohammad Ismail Hossain, Masayuki Kozawa, Alberto Salleo, Jon Yngve Hardeberg, Hiroyuki Fujiwara, Yuen Hong Tsang, Dietmar Knipp
Publikováno v:
ACS Applied Materials and Interfaces 14 (2022) 9
ACS Applied Materials and Interfaces, 14(9), 11645-11653
ACS Applied Materials and Interfaces, 14(9), 11645-11653
In this study, optical multispectral sensors based on perovskite semiconductors have been proposed, simulated, and characterized. The perovskite material system combined with the 3D vertical integration of the sensor channels allow for realizing sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::325a78179f2495123569882ab90c18d9
https://research.wur.nl/en/publications/beyond-tristimulus-color-vision-with-perovskite-based-multispectr
https://research.wur.nl/en/publications/beyond-tristimulus-color-vision-with-perovskite-based-multispectr