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DOI | 10.1007/s11042-024-18617-x |
Wheat crop classification using deep learning | |
Gill, Harmandeep Singh; Bath, Bikramjit Singh; Singh, Rajanbir; Riar, Amarinder Singh | |
发表日期 | 2024 |
ISSN | 1380-7501 |
EISSN | 1573-7721 |
英文摘要 | Crop yield forecasting is becoming more essential in the present environment, when food security must be maintained despite climate, population, and climate change concerns. Machine learning is a useful decision-making tool for predicting agricultural yields, as well as for deciding what crops to plant and what to do throughout the crop's growth season. To aid agricultural production prediction studies, a number of machine learning methods have been used. Wheat is a significant food source in India, particularly in the north. The wheat crop is categorised using deep learning techniques in the proposed research. The suggested system uses deep learning CNN, RNN, and LSTM applications to classify wheat crops. The results showed that the test accuracy ranged from 85%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$85\%$$\end{document} to 95.68%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document} for varietal level classification. Hence, the proposed approach results are accurate and reliable, encouraging the deployment of such an approach in practice. |
英文关键词 | Wheat crop; Classification; Deep learning; CNN; RNN; LSTM; HT; MT |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:001183193800007 |
来源期刊 | MULTIMEDIA TOOLS AND APPLICATIONS |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/293437 |
作者单位 | Guru Nanak Dev University |
推荐引用方式 GB/T 7714 | Gill, Harmandeep Singh,Bath, Bikramjit Singh,Singh, Rajanbir,et al. Wheat crop classification using deep learning[J],2024. |
APA | Gill, Harmandeep Singh,Bath, Bikramjit Singh,Singh, Rajanbir,&Riar, Amarinder Singh.(2024).Wheat crop classification using deep learning.MULTIMEDIA TOOLS AND APPLICATIONS. |
MLA | Gill, Harmandeep Singh,et al."Wheat crop classification using deep learning".MULTIMEDIA TOOLS AND APPLICATIONS (2024). |
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