How can aerial imagery and vegetation indices algorithm can be used for monitoring crop through geotagged system? A review
As the world population grows, it is crucial that food production is linearly proportional to the growing demands of food across the globe. The agriculture sector has many opportunities as well as challenges in the upcoming years. Many innovations have been achieved in the previous years and there a...
| Main Authors: | Kumaran, Vikneswaran Jeya, Mohidem, Nur Adibah, Che’ya, Nik Norasma, Wan Ilahi, Wan Fazilah, Arif Shah, Jasmin, Yusof, Norhakim |
|---|---|
| Format: | Article |
| Published: |
HH Publisher
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/108198/ |
Similar Items
How can aerial imagery and vegetation indices algorithms monitor the geotagged crop?
by: Jeya Kumaran, Vikneswaran, et al.
Published: (2024)
by: Jeya Kumaran, Vikneswaran, et al.
Published: (2024)
Geotagged application for durian trees using aerial imagery and vegetation indices algorithm
by: Mohidem, Nur Adibah, et al.
Published: (2021)
by: Mohidem, Nur Adibah, et al.
Published: (2021)
How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
by: Mohidem, Nur Adibah, et al.
Published: (2021)
by: Mohidem, Nur Adibah, et al.
Published: (2021)
Rice chlorophyll content monitoring using vegetation indices from multispectral aerial imagery
by: Ang, Yuhao, et al.
Published: (2020)
by: Ang, Yuhao, et al.
Published: (2020)
Rice chlorophyll content monitoring using vegetation indices from multispectral aerial imagery
by: Ang, Yuhao, et al.
Published: (2020)
by: Ang, Yuhao, et al.
Published: (2020)
Weed detection in rice fields using UAV and multispectral aerial imagery †
by: Rosle, Rhushalshafira, et al.
Published: (2022)
by: Rosle, Rhushalshafira, et al.
Published: (2022)
Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis
by: Roslin, Nor Athirah, et al.
Published: (2021)
by: Roslin, Nor Athirah, et al.
Published: (2021)
Smartphone application development for rice field management through aerial imagery and normalised difference vegetation index (NDVI) analysis
by: Roslin, Nor Athirah, et al.
Published: (2021)
by: Roslin, Nor Athirah, et al.
Published: (2021)
Rice response to spermine foliar application and its association with aerial imagery monitoring under water stress conditions
by: Abd. Jalil, Nur Zahirah, et al.
Published: (2024)
by: Abd. Jalil, Nur Zahirah, et al.
Published: (2024)
Rice response to spermine foliar application and its association with aerial imagery monitoring under water stress conditions
by: Nur Zahirah Abd. Jalil,, et al.
Published: (2024)
by: Nur Zahirah Abd. Jalil,, et al.
Published: (2024)
Assessment of weed classification using hyperspectral reflectance and optimal multispectral UAV imagery
by: Che’Ya, Nik Norasma, et al.
Published: (2021)
by: Che’Ya, Nik Norasma, et al.
Published: (2021)
The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review
by: Sulaiman, Nursyazyla, et al.
Published: (2022)
by: Sulaiman, Nursyazyla, et al.
Published: (2022)
Production of spinach under variable water supply
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2019)
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2019)
Mobile computing for pest and disease management using spectral signature analysis: a review
by: Che’Ya, Nik Norasma, et al.
Published: (2022)
by: Che’Ya, Nik Norasma, et al.
Published: (2022)
Aerial imagery paddy seedlings inspection using deep learning
by: Anuar, Mohamed Marzhar, et al.
Published: (2022)
by: Anuar, Mohamed Marzhar, et al.
Published: (2022)
Geocaching: tracing geotagged social media research using mixed methods
by: Varga, Judit
Published: (2021)
by: Varga, Judit
Published: (2021)
Effective marketing video application by using geotagged Twitter's status metadata
by: Limanto, Adrian Samuel *, et al.
Published: (2011)
by: Limanto, Adrian Samuel *, et al.
Published: (2011)
Lineament mapping in Malaysian tropical forest environment utilizing Landsat imagery
by: Yusof, Norhakim
Published: (2009)
by: Yusof, Norhakim
Published: (2009)
Alley-cropping system can boost arthropod biodiversity and ecosystem functions in oil palm plantations
by: Abdul Mutalib, Mohamad Ashraf, et al.
Published: (2018)
by: Abdul Mutalib, Mohamad Ashraf, et al.
Published: (2018)
3D visualization of movements can amplify motor cortex activation during subsequent motor imagery
by: Sollfrank, T., et al.
Published: (2015)
by: Sollfrank, T., et al.
Published: (2015)
Yielding to the image: how phenotyping reproductive growth can assist crop improvement and production
by: Dreccer, M. Fernanda, et al.
Published: (2018)
by: Dreccer, M. Fernanda, et al.
Published: (2018)
Web-based GIS Decision Support System for Paddy Precision Farming
by: Che'Ya, Nik Norasma
Published: (2010)
by: Che'Ya, Nik Norasma
Published: (2010)
Mangrove mapping using Landsat imagery and aerial photographs: Kemaman District, Terengganu, Malaysia
by: I., Sulong, et al.
Published: (2002)
by: I., Sulong, et al.
Published: (2002)
Predictive zoning of pest and disease infestations in rice field based on uav aerial imagery
by: Abd. Kharim, Muhammad Nurfaiz, et al.
Published: (2022)
by: Abd. Kharim, Muhammad Nurfaiz, et al.
Published: (2022)
We Can't Teach Values, Can We?
by: Millett, Stephan
Published: (2004)
by: Millett, Stephan
Published: (2004)
An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery
by: Aisyah Marliza Muhmad Kamarulzaman,, et al.
Published: (2021)
by: Aisyah Marliza Muhmad Kamarulzaman,, et al.
Published: (2021)
The use of multi-temporal landsat imageries in detecting seasonal crop abandonment
by: Mohamad Yusoff, Noryusdiana, et al.
Published: (2015)
by: Mohamad Yusoff, Noryusdiana, et al.
Published: (2015)
Can birds minimize crop damages caused by insect herbivores in oil palm agro-ecosystems?
by: Ibrahim, Nor Laili, et al.
Published: (2014)
by: Ibrahim, Nor Laili, et al.
Published: (2014)
Development of mapping procedures using digital imagery derived from unmanned aerial vehicle system
by: Sidek, Faizatul Khadijah, et al.
Published: (2008)
by: Sidek, Faizatul Khadijah, et al.
Published: (2008)
Growth performance and production of Limnocharis flava (L.) Buchenau for vegetable crop
by: Saupi, Noorasmah, et al.
Published: (2016)
by: Saupi, Noorasmah, et al.
Published: (2016)
Can opener
by: Mohd Hafez, Saat
Published: (2009)
by: Mohd Hafez, Saat
Published: (2009)
Growth performance of durian based on crop water requirement (ETc) using irrigation system
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2024)
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2024)
Low altitude drone aerial imagery for dugong sightings:
A case study in Pulau Sibu, Johor
by: Ahmad, Zuhairi, et al.
Published: (2019)
by: Ahmad, Zuhairi, et al.
Published: (2019)
A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?
by: Murchie, Erik H., et al.
Published: (2019)
by: Murchie, Erik H., et al.
Published: (2019)
Can your foot function as a brain?
by: Wan Hasan, Wan Zuha, et al.
Published: (2016)
by: Wan Hasan, Wan Zuha, et al.
Published: (2016)
Production of fine alumina from waste aluminum can
by: Wan Mohd, Wan Roslina, et al.
Published: (2011)
by: Wan Mohd, Wan Roslina, et al.
Published: (2011)
Similar Items
-
How can aerial imagery and vegetation indices algorithms monitor the geotagged crop?
by: Jeya Kumaran, Vikneswaran, et al.
Published: (2024) -
Geotagged application for durian trees using aerial imagery and vegetation indices algorithm
by: Mohidem, Nur Adibah, et al.
Published: (2021) -
How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
by: Mohidem, Nur Adibah, et al.
Published: (2021) -
Rice chlorophyll content monitoring using vegetation indices from multispectral aerial imagery
by: Ang, Yuhao, et al.
Published: (2020) -
Rice chlorophyll content monitoring using vegetation indices from multispectral aerial imagery
by: Ang, Yuhao, et al.
Published: (2020)