Machine Learning-Based Application to Detect Pepper Leaf Diseases Using HistGradientBoosting Classifier with Fused HOG and LBP Features
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1773-7_29
Reference28 articles.
1. Z.B. Husin, A.H.B.A. Aziz, A.Y.B.M. Shakaff, R.B.S.M. Farook, Feasibility study on plant chili disease detection using image processing techniques, in IEEE 3rd International Conference on Intelligent System Modeling and Simulation ISMS, Kota Kinabalu, pp 291–296 (2012)
2. G. Balakrishna, N.R. Moparthi, Study report on indian agriculture with IoT. Int. J. Electr. Comput. Eng. 10(3), 2322 (2020)
3. J.G.A. Barbedo, A review on the main challenges in automatic plant disease identification based on visible range images. Biosyst. Eng. 144, 52–60 (2016)
4. K. Mannepalli, P.N. Sastry, M. Suman, Accent recognition system using deep belief networks for Telugu speech signals. Int. J. Speech Technol. 19(1), 87–93 (2017)
5. T. Rajesh Kumar, G.R. Suresh, S. Kanaga Suba Raja, Conversion of non audible murmur to normal speech based on full-rank Gaussian mixture model. J. Comput. Theor. NanoSci. 1546–1955 15(1), 185–190 (2018)
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. CSIU-Net+: Pepper and corn leaves classification and severity identification using hybrid optimization;Environmental Research Communications;2024-05-01
2. AMter: An end‐to‐end model for transcriptional terminators prediction by extracting semantic feature automatically based on attention mechanism;Concurrency and Computation: Practice and Experience;2024-02-27
3. Bayesian optimization with deep learning based pepper leaf disease detection for decision-making in the agricultural sector;AIMS Mathematics;2024
4. GSAtt-CMNetV3: Pepper Leaf Disease Classification Using Osprey Optimization;IEEE Access;2024
5. Faster R-CNN for Detection and Classification of Banana Leaf Diseases;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3