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Articles

Early season weed mapping in rice crops using multi-spectral UAV data

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Pages 5432-5452 | Received 31 Oct 2017, Accepted 05 Feb 2018, Published online: 21 Feb 2018

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Anita Simic Milas, Joaquim João Sousa, Timothy A. Warner, Ana Cláudia Teodoro, Emanuel Peres, José Alberto Gonçalves, Jorge Delgado Garcia, Ricardo Bento, Stuart Phinn & Amy Woodget. (2018) Unmanned Aerial Systems (UAS) for environmental applications special issue preface. International Journal of Remote Sensing 39:15-16, pages 4845-4851.
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Zaid Ramli, Abdul Shukor Juraimi, Mst. Motmainna, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Nisfariza Mohd Noor & Anuar Ahmad. (2024) Weed Management Using UAV and Remote Sensing in Malaysia Paddy Field: A Review. Pertanika Journal of Science and Technology 32:3, pages 1219-1241.
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Shaeden Gokool, Maqsooda Mahomed, Alistair Clulow, Mbulisi Sibanda, Richard Kunz, Vivek Naiken & Tafadzwanashe Mabhaudhi. (2024) Exploring the Potential of Remote Sensing to Facilitate Integrated Weed Management in Smallholder Farms: A Scoping Review. Drones 8:3, pages 81.
Crossref
Cuimin Sun, Menghua Zhang, Muchen Zhou & Xingzhi Zhou. (2024) An Improved Transformer Network With Multi-Scale Convolution for Weed Identification in Sugarcane Field. IEEE Access 12, pages 31168-31181.
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Fatih Ecer, İlkin Yaran Ögel, Raghunathan Krishankumar & Erfan Babaee Tirkolaee. (2023) The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era. Artificial Intelligence Review 56:11, pages 13373-13406.
Crossref
Romeu Gerardo & Isabel P. de Lima. (2023) Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal. Agriculture 13:10, pages 1916.
Crossref
Chao Feng, Wenjiang Zhang, Hui Deng, Lei Dong, Houxi Zhang, Ling Tang, Yu Zheng & Zihan Zhao. (2023) A Combination of OBIA and Random Forest Based on Visible UAV Remote Sensing for Accurately Extracted Information about Weeds in Areas with Different Weed Densities in Farmland. Remote Sensing 15:19, pages 4696.
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Gaoyuan Zhao, Yali Zhang, Yubin Lan, Jizhong Deng, Qiangzhi Zhang, Zichao Zhang, Zhiyong Li, Lihan Liu, Xu Huang & Junjie Ma. (2023) Application Progress of UAV-LARS in Identification of Crop Diseases and Pests. Agronomy 13:9, pages 2232.
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Chenhao Huang, Shucheng You, Aixia Liu, Penghan Li, Jianhua Zhang & Jinsong Deng. (2023) High-Resolution National-Scale Mapping of Paddy Rice Based on Sentinel-1/2 Data. Remote Sensing 15:16, pages 4055.
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Binyuan Xu, Ran Meng, Gengshen Chen, Linlin Liang, Zhengang Lv, Longfei Zhou, Rui Sun, Feng Zhao & Wanneng Yang. (2023) Improved weed mapping in corn fields by combining UAV ‐based spectral, textural, structural, and thermal measurements . Pest Management Science 79:7, pages 2591-2602.
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Hajar Saad El Imanni, Abderrazak El Harti, El Mostafa Bachaoui, Hicham Mouncif, Fatine Eddassouqui, Mohamed Achraf Hasnai & Moulay Ismail Zinelabidine. (2023) Multispectral UAV data for detection of weeds in a citrus farm using machine learning and Google Earth Engine: Case study of Morocco. Remote Sensing Applications: Society and Environment 30, pages 100941.
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Kunlin Zou, Han Wang, Ting Yuan & Chunlong Zhang. (2022) Multi-species weed density assessment based on semantic segmentation neural network. Precision Agriculture 24:2, pages 458-481.
Crossref
Dorijan Radočaj, Ante Šiljeg, Rajko Marinović & Mladen Jurišić. (2023) State of Major Vegetation Indices in Precision Agriculture Studies Indexed in Web of Science: A Review. Agriculture 13:3, pages 707.
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Mark D. McDonnell, Eriita Jones, Megan E. Schwamb, K-Michael Aye, Ganna Portyankina & Candice J. Hansen. (2023) Planet Four: A Neural Network’s search for polar spring-time fans on Mars. Icarus 391, pages 115308.
Crossref
Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, Ahmed Mukalazi Kalumba, George Johannes Chirima, Wonga Masiza & Colette De Villiers. (2023) Global Research Trends for Unmanned Aerial Vehicle Remote Sensing Application in Wheat Crop Monitoring. Geomatics 3:1, pages 115-136.
Crossref
Fenghua Yu, Zhongyu Jin, Sien Guo, Zhonghui Guo, Honggang Zhang, Tongyu Xu & Chunling Chen. (2022) Research on weed identification method in rice fields based on UAV remote sensing. Frontiers in Plant Science 13.
Crossref
Kunlin Zou, Qianfeng Liao, Fan Zhang, Xiaoxi Che & Chunlong Zhang. (2022) A segmentation network for smart weed management in wheat fields. Computers and Electronics in Agriculture 202, pages 107303.
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Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger & Ralf Kiese. (2022) Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets. Biogeosciences 19:10, pages 2699-2727.
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Xiaohu Zhao, Jingcheng Zhang, Ruiliang Pu, Zaifa Shu, Weizhong He & Kaihua Wu. (2022) The continuous wavelet projections algorithm: A practical spectral-feature-mining approach for crop detection. The Crop Journal.
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Matheus Thomas Kuska, René H. J. Heim, Ina Geedicke, Kaitlin M. Gold, Anna Brugger & Stefan Paulus. (2022) Digital plant pathology: a foundation and guide to modern agriculture. Journal of Plant Diseases and Protection 129:3, pages 457-468.
Crossref
Muhammet Fatih Aslan, Akif Durdu, Kadir Sabanci, Ewa Ropelewska & Seyfettin Sinan Gültekin. (2022) A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses. Applied Sciences 12:3, pages 1047.
Crossref
Akshay Pandey & Kamal Jain. (2022) An intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network. Computers and Electronics in Agriculture 192, pages 106543.
Crossref
Mojtaba Naghdyzadegan Jahromi, Shahrokh Zand-Parsa, Ali Doosthosseini, Fatemeh Razzaghi & Sajad Jamshidi. 2022. Computational Intelligence for Water and Environmental Sciences. Computational Intelligence for Water and Environmental Sciences 507 523 .
Anup Kumar Das, Jithin Mathew, Zhao Zhang, Andrew Friskop, Yuxiang Huang, Paulo Flores & Xiongzhe Han. 2022. Unmanned Aerial Systems in Precision Agriculture. Unmanned Aerial Systems in Precision Agriculture 123 136 .
Yao Zhang, Jian Hui, Qiming Qin, Yuanheng Sun, Tianyuan Zhang, Hong Sun & Minzan Li. (2021) Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data. Remote Sensing of Environment 267, pages 112724.
Crossref
Jing Zhang, Jerome Maleski, David Jespersen, F. C. WaltzJr.Jr., Glen Rains & Brian Schwartz. (2021) Unmanned Aerial System-Based Weed Mapping in Sod Production Using a Convolutional Neural Network. Frontiers in Plant Science 12.
Crossref
Rhushalshafira Rosle, Nik Norasma Che’Ya, Yuhao Ang, Fariq Rahmat, Aimrun Wayayok, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Mohd Razi Ismail & Mohamad Husni Omar. (2021) Weed Detection in Rice Fields Using Remote Sensing Technique: A Review. Applied Sciences 11:22, pages 10701.
Crossref
Jia Liu, Jianjian Xiang, Yongjun Jin, Renhua Liu, Jining Yan & Lizhe Wang. (2021) Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey. Remote Sensing 13:21, pages 4387.
Crossref
Yubin Lan, Kanghua Huang, Chang Yang, Luocheng Lei, Jiahang Ye, Jianling Zhang, Wen Zeng, Yali Zhang & Jizhong Deng. (2021) Real-Time Identification of Rice Weeds by UAV Low-Altitude Remote Sensing Based on Improved Semantic Segmentation Model. Remote Sensing 13:21, pages 4370.
Crossref
Kunlin Zou, Xin Chen, Yonglin Wang, Chunlong Zhang & Fan Zhang. (2021) A modified U-Net with a specific data argumentation method for semantic segmentation of weed images in the field. Computers and Electronics in Agriculture 187, pages 106242.
Crossref
Jere Kaivosoja, Juho Hautsalo, Jaakko Heikkinen, Lea Hiltunen, Pentti Ruuttunen, Roope Näsi, Oiva Niemeläinen, Madis Lemsalu, Eija Honkavaara & Jukka Salonen. (2021) Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases. Remote Sensing 13:7, pages 1238.
Crossref
Nebojša Nikolić, Davide Rizzo, Elisa Marraccini, Alicia Ayerdi Gotor, Pietro Mattivi, Pierre Saulet, Antonio Persichetti & Roberta Masin. (2021) Site- and time-specific early weed control is able to reduce herbicide use in maize - a case study. Italian Journal of Agronomy 16:4.
Crossref
Xiuliang Jin, Pablo J. Zarco-Tejada, Urs Schmidhalter, Matthew P. Reynolds, Malcolm J. Hawkesford, Rajeev K. Varshney, Tao Yang, Chengwei Nie, Zhenhai Li, Bo Ming, Yonggui Xiao, Yongdun Xie & Shaokun Li. (2021) High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms. IEEE Geoscience and Remote Sensing Magazine 9:1, pages 200-231.
Crossref
Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Le Yu, Shuai Yuan, Wai Yuk William Tao, Tan Kian Pang & Kasturi Devi Kanniah. (2021) Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images. ISPRS Journal of Photogrammetry and Remote Sensing 173, pages 95-121.
Crossref
Kunlin Zou, Xin Chen, Fan Zhang, Hang Zhou & Chunlong Zhang. (2021) A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net. Remote Sensing 13:2, pages 310.
Crossref
Wen-Hao Su. (2020) Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review. Smart Cities 3:3, pages 767-792.
Crossref
Luis Fernando Sánchez-Sastre, Mª Auxiliadora Casterad, Mónica Guillén, Norlan Miguel Ruiz-Potosme, Nuno M. S. Alte da Veiga, Luis Manuel Navas-Gracia & Pablo Martín-Ramos. (2020) UAV Detection of Sinapis arvensis Infestation in Alfalfa Plots Using Simple Vegetation Indices from Conventional Digital Cameras. AgriEngineering 2:2, pages 206-212.
Crossref
Dhonatan Diego Pessi, Jefferson Vieira José, Camila Leonardo Mioto & Normandes Matos Da Silva. (2020) AERONAVE REMOTAMENTE PILOTADA DE BAIXO CUSTO NO ESTUDO DE PLANTAS INVASORAS EM ÁREAS DE CERRADO. Nativa 8:1, pages 66.
Crossref
Abdul SalamAbdul Salam. 2020. Internet of Things for Sustainable Community Development. Internet of Things for Sustainable Community Development 71 112 .
Yu Dong, Huimin Yan, Na Wang, Mei Huang & Yunfeng Hu. (2019) Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing. Remote Sensing 11:13, pages 1623.
Crossref
Lili Yao, Qing Wang, Jinbo Yang, Yu Zhang, Yan Zhu, Weixing Cao & Jun Ni. (2019) UAV-Borne Dual-Band Sensor Method for Monitoring Physiological Crop Status. Sensors 19:4, pages 816.
Crossref
Grazia Tucci, Erica Parisi, Giulio Castelli, Alessandro Errico, Manuela Corongiu, Giovanna Sona, Enea Viviani, Elena Bresci & Federico Preti. (2019) Multi-Sensor UAV Application for Thermal Analysis on a Dry-Stone Terraced Vineyard in Rural Tuscany Landscape. ISPRS International Journal of Geo-Information 8:2, pages 87.
Crossref
Kunlin Zou, Luzhen Ge, Chunlong Zhang, Ting Yuan & Wei Li. (2019) Broccoli Seedling Segmentation Based on Support Vector Machine Combined With Color Texture Features. IEEE Access 7, pages 168565-168574.
Crossref
Muhammad Ahsan Latif. (2018) An Agricultural Perspective on Flying Sensors: State of the Art, Challenges, and Future Directions. IEEE Geoscience and Remote Sensing Magazine 6:4, pages 10-22.
Crossref
Tristan Goodbody, Nicholas Coops, Txomin Hermosilla, Piotr Tompalski & Gaetan Pelletier. (2018) Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models. Remote Sensing 10:10, pages 1554.
Crossref
Rossana Gini, Giovanna Sona, Giulia Ronchetti, Daniele Passoni & Livio Pinto. (2018) Improving Tree Species Classification Using UAS Multispectral Images and Texture Measures. ISPRS International Journal of Geo-Information 7:8, pages 315.
Crossref

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