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Internet and Computers for Agriculture

Author

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  • Dimitre D. Dimitrov

    (Department of University Transfer, Faculty of Arts & Sciences, NorQuest College, Edmonton, AB T5J 1L6, Canada)

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 [...]

Suggested Citation

  • Dimitre D. Dimitrov, 2023. "Internet and Computers for Agriculture," Agriculture, MDPI, vol. 13(1), pages 1-7, January.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:1:p:155-:d:1028651
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    References listed on IDEAS

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    1. Henriyadi Henriyadi & Vatcharaporn Esichaikul & Chutiporn Anutariya, 2022. "A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers," Agriculture, MDPI, vol. 12(6), pages 1-23, June.
    2. Antonio Valente & Carlos Costa & Leonor Pereira & Bruno Soares & José Lima & Salviano Soares, 2022. "A LoRaWAN IoT System for Smart Agriculture for Vine Water Status Determination," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    3. Juan J. Cubillas & María I. Ramos & Juan M. Jurado & Francisco R. Feito, 2022. "A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain," Agriculture, MDPI, vol. 12(9), pages 1-26, August.
    4. Kailin Jiang & Tianyu Xie & Rui Yan & Xi Wen & Danyang Li & Hongbo Jiang & Ning Jiang & Ling Feng & Xuliang Duan & Jianjun Wang, 2022. "An Attention Mechanism-Improved YOLOv7 Object Detection Algorithm for Hemp Duck Count Estimation," Agriculture, MDPI, vol. 12(10), pages 1-18, October.
    5. Yun Peng & Shenyi Zhao & Jizhan Liu, 2021. "Fused Deep Features-Based Grape Varieties Identification Using Support Vector Machine," Agriculture, MDPI, vol. 11(9), pages 1-16, September.
    6. Shuzhi Su & Runbin Chen & Xianjin Fang & Yanmin Zhu & Tian Zhang & Zengbao Xu, 2022. "A Novel Lightweight Grape Detection Method," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    7. Yuanzhi Pan & Hua Jin & Jiechao Gao & Hafiz Tayyab Rauf, 2022. "Identification of Buffalo Breeds Using Self-Activated-Based Improved Convolutional Neural Networks," Agriculture, MDPI, vol. 12(9), pages 1-19, September.
    8. Syed Abu Shoaib & Muhammad Muhitur Rahman & Faisal I. Shalabi & Ammar Fayez Alshayeb & Ziad Nayef Shatnawi, 2022. "Climate Resilience and Environmental Sustainability: How to Integrate Dynamic Dimensions of Water Security Modeling," Agriculture, MDPI, vol. 12(2), pages 1-15, February.
    9. Sehrish Munawar Cheema & Muhammad Ali & Ivan Miguel Pires & Norberto Jorge Gonçalves & Mustahsan Hammad Naqvi & Maleeha Hassan, 2022. "IoAT Enabled Smart Farming: Urdu Language-Based Solution for Low-Literate Farmers," Agriculture, MDPI, vol. 12(8), pages 1-23, August.
    10. Marius Drechsler & Andreas Holzapfel, 2022. "Decision Support in Horticultural Supply Chains: A Planning Problem Framework for Small and Medium-Sized Enterprises," Agriculture, MDPI, vol. 12(11), pages 1-25, November.
    11. Peng Xu & Qian Tan & Yunpeng Zhang & Xiantao Zha & Songmei Yang & Ranbing Yang, 2022. "Research on Maize Seed Classification and Recognition Based on Machine Vision and Deep Learning," Agriculture, MDPI, vol. 12(2), pages 1-16, February.
    12. Xiaolu Wei & Junhu Ruan, 2022. "Influences of Government Policies and Farmers’ Cognition on Farmers’ Participation Willingness and Behaviors in E-Commerce Interest Linkage Mechanisms during Farmer–Enterprise Games," Agriculture, MDPI, vol. 12(10), pages 1-16, October.
    13. Hsin-Chieh Wu & Yu-Cheng Lin & Tin-Chih Toly Chen, 2022. "Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic," Agriculture, MDPI, vol. 12(1), pages 1-19, January.
    14. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Sajjad Hussain & Shemei Zhang & Muhammad Khayyam & Muhammad Ihtisham & Simplice A. Asongu, 2021. "Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review," Agriculture, MDPI, vol. 11(10), pages 1-20, October.
    15. Junhao Wu & Yuan Hu & Daqing Wu & Zhengyong Yang, 2022. "An Aquatic Product Price Forecast Model Using VMD-IBES-LSTM Hybrid Approach," Agriculture, MDPI, vol. 12(8), pages 1-26, August.
    16. Chunyu Yan & Zhonghui Chen & Zhilin Li & Ruixin Liu & Yuxin Li & Hui Xiao & Ping Lu & Benliang Xie, 2022. "Tea Sprout Picking Point Identification Based on Improved DeepLabV3+," Agriculture, MDPI, vol. 12(10), pages 1-15, October.
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