Design and evaluation of a deep CNN algorithm for detecting farm weeds

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Systems Modelling and SImulation Pub Date : 2022-01-01 DOI:10.1504/ijesms.2022.10045350

B. Pattanaik, A. Malibari, M. Kumarasamy, V. Nagaraj, M. Gopikrishnan

引用次数: 0

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一种用于农田杂草检测的深度CNN算法的设计与评价

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Engineering Systems Modelling and SImulation ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.00

自引率

27.30%

发文量

期刊介绍： Most of the research and experiments in the field of engineering have devoted significant efforts to modelling and simulation of various complicated phenomena and processes occurring in engineering systems. IJESMS provides an international forum and refereed authoritative source of information on the development and advances in modelling and simulation, contributing to the understanding of different complex engineering systems. IJESMS is designed to be a multi-disciplinary, fully refereed, international journal.