Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sri Charan Kakarla"'
Autor:
Sri Charan Kakarla, Zhicheng Zhu, Yiannis Ampatzidis, Spyros Fountas, Reza Ehsani, Panos Pardalos
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/88111e81e2af4fe2b2aa0697c1ee9206
Autor:
Sri Charan Kakarla, Yiannis Ampatzidis
Publikováno v:
EDIS, Vol 2021, Iss 5 (2021)
This publication provides detailed information about the most used UAVs, sensing technologies, and software for agricultural applications. Written by Sri Charan Kakarla and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural a
Externí odkaz:
https://doaj.org/article/54ed9f601e294ee5841c2116168e68a7
Publikováno v:
EDIS, Vol 2019, Iss 6 (2019)
This 5-page document provides guidance on the appropriate use of unmanned aerial vehicles (UAVs) for agricultural applications in Florida. It contains step-by-step instructions for preparing a UAV for flight, creating a mission path (using flight mis
Externí odkaz:
https://doaj.org/article/d7cefe9677d94dd69ce24985ba722586
Autor:
Sri Charan Kakarla, Yiannis Ampatzidis
Publikováno v:
EDIS, Vol 2019, Iss 6 (2019)
Remote sensing applications for agriculture often require periodically collected high-resolution data, which are difficult to obtain by manned flights or satellite imagery. This 6-page document provides guidance on the use of post-processing software
Externí odkaz:
https://doaj.org/article/7030805acc0e4029a079b0e2c7b8040a
Autor:
Sri Charan Kakarla, Yiannis Ampatzidis
Publikováno v:
EDIS, Vol 2018, Iss 5 (2018)
The purpose of this document is to provide guidance on the appropriate use of Unmanned Aircraft Vehicles (UAV) or Unmanned Aircraft Systems (UAS) in the State of Florida. All research and commercial activities involving the use of UAVs shall be condu
Externí odkaz:
https://doaj.org/article/134db5bfa51242108cfb9b780ad620ee
Publikováno v:
Biosystems Engineering. 197:135-148
In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to develop a technique for detecting different disease development stages (asymptomatic, early, intermediate, and late disease stage) of powdery mildew (PM) in squ
Publikováno v:
Unmanned Aerial Systems in Precision Agriculture ISBN: 9789811920264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d58800f1b98c374a58bfa202d181645a
https://doi.org/10.1007/978-981-19-2027-1_1
https://doi.org/10.1007/978-981-19-2027-1_1
Autor:
Yiannis Ampatzidis, Sri Charan Kakarla
Publikováno v:
EDIS. 2021
This publication provides detailed information about the most used UAVs, sensing technologies, and software for agricultural applications. Written by Sri Charan Kakarla and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural a
Publikováno v:
Precision Agriculture. 21:955-978
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant diseases. An incorrect diagnosis can lead to improper management decisions, such as selection of the wrong chemical application that could potentially result i
Publikováno v:
Computers and Electronics in Agriculture. 157:339-350
Most conventional sprayers apply agrochemicals uniformly, despite the fact that distribution of weeds is typically patchy, resulting in wastage of valuable compounds, increased costs, crop damage risk, pest resistance to chemicals, environmental poll