Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hassan, Afzaal"'
Autor:
Hassan, Afzaal1 (AUTHOR) afzaalhassan@swin.edu.au, Wallace, Mark2 (AUTHOR) mark.wallace@monash.edu, Moser, Irene1 (AUTHOR) imoser@swin.edu.au, Harabor, Daniel D.2 (AUTHOR) daniel.harabor@monash.edu
Publikováno v:
Information (2078-2489). Apr2024, Vol. 15 Issue 4, p174. 17p.
Autor:
Fatima Imtiaz, Aitazaz Farooque, Xander Wang, Farhat Abbas, Hassan Afzaal, Travis Esau, Bishnu Acharya, Qamar Zaman
Publikováno v:
Frontiers in Remote Sensing, Vol 4 (2023)
Soil moisture variability caused by soil erosion, weather extremes, and spatial variations in soil health is a limiting factor for crop growth and productivity. Crop evapotranspiration (ET) is significant for irrigation water management systems. The
Externí odkaz:
https://doaj.org/article/bbd7e4f8b8e843a2925c62f6cd9eb8c4
Autor:
Aitazaz A. Farooque, Nazar Hussain, Arnold W. Schumann, Farhat Abbas, Hassan Afzaal, Andrew McKenzie-Gopsill, Travis Esau, Qamar Zaman, Xander Wang
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100073- (2023)
The field performance of a newly developed novel smart variable-rate sprayer was evaluated. The sprayer uses convolutional neural networks (CNNs) for target detection and spot-applications of agrochemicals within potato (Solanum tuberosum L.) fields
Externí odkaz:
https://doaj.org/article/14c597d5a961400699dc2188bd468f6f
Autor:
Aitazaz A. Farooque, Hassan Afzaal, Rachid Benlamri, Salem Al-Naemi, Evan MacDonald, Farhat Abbas, Kaelyn MacLeod, Hassan Ali
Publikováno v:
Precision Agriculture. 24:1097-1115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f29b9d0eaaefeb4dfd751307168c49da
https://doi.org/10.1007/s11119-023-10001-3
https://doi.org/10.1007/s11119-023-10001-3
Autor:
Afshin Azizi, Yousef Abbaspour-Gilandeh, Tarahom Mesri-Gundoshmian, Aitazaz A. Farooque, Hassan Afzaal
Publikováno v:
Sensors, Vol 21, Iss 13, p 4386 (2021)
Soil roughness is one of the most challenging issues in the agricultural domain and plays a crucial role in soil quality. The objective of this research was to develop a computerized method based on stereo vision technique to estimate the roughness f
Externí odkaz:
https://doaj.org/article/164cc06e8f144c358e30fdb8e8f572ba
Autor:
Hassan Afzaal, Aitazaz A. Farooque, Arnold W. Schumann, Nazar Hussain, Andrew McKenzie-Gopsill, Travis Esau, Farhat Abbas, Bishnu Acharya
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 411 (2021)
This study evaluated the potential of using machine vision in combination with deep learning (DL) to identify the early blight disease in real-time for potato production systems. Four fields were selected to collect images (n = 5199) of healthy and d
Externí odkaz:
https://doaj.org/article/25223c628fdd413694718cd3555f655f
Publikováno v:
Agronomy, Vol 10, Iss 7, p 1046 (2020)
Proximal sensing techniques can potentially survey soil and crop variables responsible for variations in crop yield. The full potential of these precision agriculture technologies may be exploited in combination with innovative methods of data proces
Externí odkaz:
https://doaj.org/article/e49f110204fb464499e1add3db67de66
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1621 (2020)
Accurate estimation of reference evapotranspiration (ETo) provides useful information for water resource management and sustainable agriculture. This study estimates ETo with recurrent neural networks (RNNs), namely long short-term memory (LSTM) and
Externí odkaz:
https://doaj.org/article/417406d8a7c34a549a923b5d5d6e2e3c
Publikováno v:
International Journal of Case Reports and Images. 12:1-6
Introduction: Malignant lymphomas of a salivary gland originate from either a lymph node (nodal) or from the parenchymal tissue of a lymphoid organ (extranodal). Primary lymphomas of the salivary glands are rare in nature, accounting for 1.7–7.4% o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d62577beac49e6175c4d893ef6f3e053
https://doi.org/10.5348/101227z01fa2021cr
https://doi.org/10.5348/101227z01fa2021cr
Autor:
Junaid Maqsood, Bishnu Acharya, Farhat Abbas, Travis Esau, Xander Wang, Hassan Afzaal, Aitazaz A. Farooque
Evapotranspiration, one of the major elements of the water cycle, is sensitive to climate change. The main objective of this study was to examine the response of reference evapotranspiration (ET0) under various climate change scenarios using artifici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d984f1e7954c8291d1015a489ceeef3c
https://doi.org/10.21203/rs.3.rs-603225/v1
https://doi.org/10.21203/rs.3.rs-603225/v1
