Weed density evaluation using KCCA-CFBLS based on fusion of visual and tactile features in special paddy field environment
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Elsevier BV
Reference35 articles.
1. Weed density classification in rice crop using computer vision;Ashraf;Comput. Electron. Agr.,2020
2. V. Bhateja, A. Yadav, D. Singh et al., Multi-scale Retinex with Chromacity Preservation (MSRCP)-Based Contrast Enhancement of Microscopy Images. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 2. Smart Innovation, Systems and Technologies, vol 283. Springer, Singapore. https://doi.org/10.1007/978-981-16-9705-0_31.
3. Broad learning system: An effective and efficient incremental learning system without the need for deep architecture;Chen;IEEE Trans. Neural Netw. Learn. Syst.,2018
4. A Tactile Method for Rice Plant Recognition Based on Machine Learning;Chen;Sensors,2020
5. Intra-row weed density evaluation in rice field using tactile method;Chen;Comput. Electron. Agr.,2022
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