Weed detection in rice fields using UAV and multispectral aerial imagery †

QR Code

Weed detection in rice fields using UAV and multispectral aerial imagery †

Weeds are plants that compete for nutrients, space, and light and exert many harmful effects by reducing the quality and quantity of crops if the weed population is uncontrolled. The direct yield loss has been estimated to be within the range of 16–86%, depending on the type of rice culture, weed sp...

Full description

Bibliographic Details
Main Authors:	Rosle, Rhushalshafira, Sulaiman, Nursyazyla, Che’Ya, Nik Norasma, Mohd Radzi, Mohd Firdaus, Omar, Mohamad Husni, Berahim, Zulkarami, Fazlil Ilahi, Wan Fazilah, Shah, Jasmin Arif, Ismail, Mohd Razi
Format:	Article
Language:	English
Published:	MDPI 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/102622/ http://psasir.upm.edu.my/id/eprint/102622/1/102622.pdf

Similar Items

Assessment of weed classification using hyperspectral reflectance and optimal multispectral UAV imagery
by: Che’Ya, Nik Norasma, 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)

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)

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)

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)

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)

The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review
by: Sulaiman, Nursyazyla, et al.
Published: (2022)

How can aerial imagery and vegetation indices algorithms monitor the geotagged crop?
by: Jeya Kumaran, Vikneswaran, et al.
Published: (2024)

How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
by: Mohidem, Nur Adibah, et al.
Published: (2021)

Geotagged application for durian trees using aerial imagery and vegetation indices algorithm
by: Mohidem, Nur Adibah, et al.
Published: (2021)

How can aerial imagery and vegetation indices algorithm can be used for monitoring crop through geotagged system? A review
by: Kumaran, Vikneswaran Jeya, et al.
Published: (2023)

Mobile application development for spectral signature of weed species in rice farming
by: Roslin, Nor Athirah, et al.
Published: (2021)

Predictive zoning of pest and disease infestations in rice field based on uav aerial imagery
by: Abd. Kharim, Muhammad Nurfaiz, et al.
Published: (2022)

Alternate wetting and drying (AWD) on rice irrigation
by: Abu Hassan, Nur Hidayu, et al.
Published: (2022)

Production of spinach under variable water supply
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2019)

Aerial and underwater sound of unmanned aerial vehicles (UAV)
by: Erbe, Christine, et al.
Published: (2017)

Potential groundwater exploration in use of 2-D Electrical Resistivity Tomography (ERT) techniques at the Department of Agriculture Kelantan Research and Developmental platform Padang Raja Kelantan
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2021)

Potential groundwater exploration in use of 2-D electrical resistivity tomography (ERT) techniques at the Department of Agriculture Kelantan Research and Developmental Platform Padang Raja Kelantan
by: Fazlil Ilahi, Wan Fazilah, et al.
Published: (2021)

Merekabentuk konseptual laman sesawang berasaskan GIS bagi kawalan serangga perosak dan serangan penyakit untuk tanaman padi
by: Che'ya, Nik Norasma, et al.
Published: (2019)

Development and control of Unmanned Aerial Vehicle (UAV)
by: Sidek, Shahrul Na'im, et al.
Published: (2011)

Fusion of multispectral imagery and LiDAR data for roofing materials and roofing surface conditions assessment
by: Norman, Masayu, et al.
Published: (2020)

Physiological and yield performance of commercial rice varieties under cyclic water stress in Malaysia
by: Nurul-Idayu Zakaria,, et al.
Published: (2024)

Obstacle detection for Unmanned Aerial Vehicle (UAV)
by: Abdul Khaliq, Nor Aizatul Nabila, et al.
Published: (2022)

Slope Mapping using Unmanned Aerial Vehicle (UAV)
by: Muhammad Farhan, Zolkepli, et al.
Published: (2021)

The implementation of unmanned aerial vehicle (UAV) for slope mapping
by: M. F., Zolkepli, et al.
Published: (2023)

Physiological and yield performance of commercial rice varieties under cyclic water stress in Malaysia
by: Zakaria, Nurul-Idayu, et al.
Published: (2024)

The effectiveness of unmanned aerial vehicle (UAV) for digital slope mapping
by: Mohd Fakhrurrazi, Ishak, et al.
Published: (2020)

Integrating airborne multispectral imagery and airborne LiDAR data for enhanced lithological mapping in vegetated terrain
by: Grebby, Stephen, et al.
Published: (2011)

Development of data acquisition system for Autonomous Unmanned Aerial Vehicle (UAV)
by: Shafie, Amir Akramin, et al.
Published: (2011)

Oil palm detection and health classification from UAV multispectral images using You Only Look Once (YOLO)
by: Lim, Bing Sern Abraham, et al.
Published: (2025)

Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
by: Geraeds, Marlein, et al.
Published: (2019)

Review on system identification for quadrotor Unmanned Aerial Vehicle (UAV)
by: Legowo, Ari, et al.
Published: (2019)

Charging platform of chess-pad configuration for Unmanned Aerial Vehicle (UAV)
by: Al-Obaidi, Mohammed Rmaez Hadi, et al.
Published: (2020)

Aerial imagery paddy seedlings inspection using deep learning
by: Anuar, Mohamed Marzhar, et al.
Published: (2022)

Pemantauan tanaman padi menggunakan sistem maklumat geografi dan imej multispektral
by: Mat Halip, Rowena, et al.
Published: (2020)

Pengukuran klorofil daun padi menggunakan indeks tumbuhan spektrum dari imej multispektral
by: Ang, Yuhao, et al.
Published: (2019)

Application of airborne LiDAR data and airborne multispectral imagery to structural mapping of the upper section of the Troodos ophiolite, Cyprus
by: Grebby, Stephen, et al.
Published: (2012)

The development of autopilot system for an unmanned aerial vehicle (UAV) helicopter model
by: Shamsudin, Syariful Syafiq
Published: (2007)

UAV-based weed detection in Chinese cabbage using deep learning
by: Pauline Ong, Pauline Ong, et al.
Published: (2023)