Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Tej Bahadur Shahi"'
Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach
Autor:
Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, Dayle B. Fleischfresser, Daniel J. O'Connor, Graeme C. Wright, William Guo
Publikováno v:
Electronic Research Archive, Vol 31, Iss 6, Pp 3343-3361 (2023)
The unmanned aerial vehicle (UAV), as a remote sensing platform, has attracted many researchers in precision agriculture because of its operational flexibility and capability of producing high spatial and temporal resolution images of agricultural fi
Externí odkaz:
https://doaj.org/article/12e871a338424148a51b27c1522f54f5
Publikováno v:
Electronic Research Archive, Vol 30, Iss 12, Pp 4277-4317 (2022)
Because of the recent development in advanced sensors, data acquisition platforms, and data analysis methods, unmanned aerial vehicle (UAV) or drone-based remote sensing has gained significant attention from precision agriculture (PA) researchers. Th
Externí odkaz:
https://doaj.org/article/ebc70ba0066f444581036b6c071ab1ac
Publikováno v:
Drones, Vol 7, Iss 10, p 624 (2023)
Semantic segmentation has been widely used in precision agriculture, such as weed detection, which is pivotal to increasing crop yields. Various well-established and swiftly evolved AI models have been developed of late for semantic segmentation in w
Externí odkaz:
https://doaj.org/article/e4b31a4468cc4d8c8abef285033d4dad
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 219 (2023)
Optical Coherence Tomography (OCT) is an imperative symptomatic tool empowering the diagnosis of retinal diseases and anomalies. The manual decision towards those anomalies by specialists is the norm, but its labor-intensive nature calls for more pro
Externí odkaz:
https://doaj.org/article/ba4fd44c00ba4ac986b2aa980c53d964
Autor:
Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, Dayle Fresser, Dan O'Connor, Graeme Wright, William Guo
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282486 (2023)
In Australia, peanuts are mainly grown in Queensland with tropical and subtropical climates. The most common foliar disease that poses a severe threat to quality peanut production is late leaf spot (LLS). Unmanned aerial vehicles (UAVs) have been wid
Externí odkaz:
https://doaj.org/article/1569a5514ae54d8b8d65829574d93539
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Chest X-ray (CXR) images have been one of the important diagnosis tools used in the COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily to analyze these images. Compared to other DL-based methods, the bag of d
Externí odkaz:
https://doaj.org/article/6625c8b3f1934713b9dd8ea1b8119bf0
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2450 (2023)
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers and stakeholders for estimating traits such as crop yield and diseases. Ear
Externí odkaz:
https://doaj.org/article/1cf109b6a8f049e29e5fd9a3562b8ab8
Publikováno v:
PLoS ONE, Vol 17, Iss 2, p e0264586 (2022)
Recent deep learning methods for fruits classification resulted in promising performance. However, these methods are with heavy-weight architectures in nature, and hence require a higher storage and expensive training operations due to feeding a larg
Externí odkaz:
https://doaj.org/article/223f7ef99f9041b59108269234c2d47d
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 53 (2023)
Early and accurate tomato disease detection using easily available leaf photos is essential for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics. This paper aims to visually identify nine different infectious di
Externí odkaz:
https://doaj.org/article/315c2b2c498c427fae20ae4b214438de
Publikováno v:
Journal of Imaging, Vol 8, Iss 6, p 167 (2022)
Secure image transmission is one of the most challenging problems in the age of communication technology. Millions of people use and transfer images for either personal or commercial purposes over the internet. One way of achieving secure image trans
Externí odkaz:
https://doaj.org/article/65fa4ba5adbe486baf8a5c272304a3d2