PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network

Autor: Bera, Asish, Bhattacharjee, Debotosh, Krejcar, Ondrej

Publikováno v: Scientific Reports, Nature Portfolio, 2024

Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. The deep learning methods have proven its superior performances in the automated detect

Externí odkaz: http://arxiv.org/abs/2410.12742

PND-Net: plant nutrition deficiency and disease classification using graph convolutional network

Autor: Asish Bera, Debotosh Bhattacharjee, Ondrej Krejcar

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Abstract Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. Hence, continuous health monitoring of plant is very crucial for handling plan

Externí odkaz: https://doaj.org/article/7831e5329c0c4a6a808cfacf657d3192

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Author Correction: PND-Net: plant nutrition deficiency and disease classification using graph convolutional network.

Autor: Bera A; Department of Computer Science and Information Systems, BITS Pilani, Pilani Campus, Pilani, Rajasthan, 333031, India. asish.bera@pilani.bits-pilani.ac.in., Bhattacharjee D; Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, 700032, India.; Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic., Krejcar O; Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic.; Skoda Auto University, Na Karmeli 1457, 293 01, Mlada Boleslav, Czech Republic.; Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.

Publikováno v: Scientific reports [Sci Rep] 2024 Aug 05; Vol. 14 (1), pp. 18084. Date of Electronic Publication: 2024 Aug 05.

Predicting the nutrition deficiency of fresh pear leaves with a miniature near-infrared spectrometer in the laboratory

Autor: Jin, Xiu, Wang, Lianglong, Zheng, Wenjuan, Zhang, XiaoDan, Liu, Li, Li, Shaowen, Rao, Yuan, Xuan, Jinxiang

Publikováno v: In Measurement January 2022 188