Internet and Computers for Agriculture-Reference-Cited by-同舟云学术

Internet and Computers for Agriculture

Published:2023-01-07 Issue:1 Volume:13 Page:155
ISSN:2077-0472
Container-title:Agriculture
language:en
Short-container-title:Agriculture

Author:

Dimitrov Dimitre D.^ORCID

Abstract

The Special Issue “Internet and Computers for Agriculture” reflects the rapidly growing need for new information and communication technology (ICT) involvement in agriculture which is changing globally [...]

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Link

https://www.mdpi.com/2077-0472/13/1/155/pdf

Reference24 articles.

1. Peng, Y., Zhao, S., and Liu, J. (2021). Fused Deep Features-Based Grape Varieties Identification Using Support Vector Machine. Agriculture, 11.

2. Guo, X., Hao, X., Tang, Z., Diao, L., Bai, Z., Lu, S., and Li, L. (2021). ACE-ADP: Adversarial Contextual Embeddings Based Named Entity Recognition for Agricultural Diseases and Pests. Agriculture, 11.

3. Faid, A., Sadik, M., and Sabir, E. (2022). An Agile AI and IoT-Augmented Smart Farming: A Cost-Effective Cognitive Weather Station. Agriculture, 12.

4. Xu, P., Tan, Q., Zhang, Y., Zha, X., Yang, S., and Yang, R. (2022). Research on Maize Seed Classification and Recognition Based on Machine Vision and Deep Learning. Agriculture, 12.

5. Abu Shoaib, S., Rahman, M.M., Shalabi, F.I., Alshayeb, A.F., and Shatnawi, Z.N. (2022). Climate Resilience and Environmental Sustainability: How to Integrate Dynamic Dimensions of Water Security Modeling. Agriculture, 12.

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