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Computational, AI and IT Solutions Helping Agriculture

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  • Dimitre D. Dimitrov

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

Abstract

This Special Issue, entitled “Computational, AI and IT Solutions Helping Agriculture”, brought together 17 publications, including 16 original research papers [...]

Suggested Citation

  • Dimitre D. Dimitrov, 2025. "Computational, AI and IT Solutions Helping Agriculture," Agriculture, MDPI, vol. 15(17), pages 1-9, August.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:17:p:1820-:d:1733435
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    References listed on IDEAS

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    1. Geonhwa Son & Seunghyeon Lee & Yukyung Choi, 2024. "FRESH: Fusion-Based 3D Apple Recognition via Estimating Stem Direction Heading," Agriculture, MDPI, vol. 14(12), pages 1-17, November.
    2. Jie Chen & Xiaochun Hu & Jiahao Lu & Yan Chen & Xin Huang, 2023. "Efficient and Lightweight Automatic Wheat Counting Method with Observation-Centric SORT for Real-Time Unmanned Aerial Vehicle Surveillance," Agriculture, MDPI, vol. 13(11), pages 1-22, November.
    3. Edmond Maican & Adrian Iosif & Sanda Maican, 2023. "Precision Corn Pest Detection: Two-Step Transfer Learning for Beetles (Coleoptera) with MobileNet-SSD," Agriculture, MDPI, vol. 13(12), pages 1-24, December.
    4. Idarh Matadamas & Erik Zamora & Teodulfo Aquino-Bolaños, 2024. "Detection and Classification of Agave angustifolia Haw Using Deep Learning Models," Agriculture, MDPI, vol. 14(12), pages 1-12, December.
    5. Saleh Albahli, 2025. "AgriFusionNet: A Lightweight Deep Learning Model for Multisource Plant Disease Diagnosis," Agriculture, MDPI, vol. 15(14), pages 1-21, July.
    6. Dimitris Mourtzis & John Angelopoulos & Nikos Panopoulos, 2022. "A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0," Energies, MDPI, vol. 15(17), pages 1-29, August.
    7. Yanyan Lyu & Yong Wang & Xiaoling Shen, 2025. "The Extraction of Torreya grandis Growing Areas Using a Spatial–Spectral Fused Attention Network and Multitemporal Sentinel-2 Images: A Case Study of the Kuaiji Mountain Region," Agriculture, MDPI, vol. 15(8), pages 1-22, April.
    8. Fengyu Li & Xianyong Meng & Ke Zhu & Jun Yan & Lining Liu & Pingzeng Liu, 2025. "Research on Ginger Price Prediction Model Based on Deep Learning," Agriculture, MDPI, vol. 15(6), pages 1-23, March.
    9. Wentao Tang & Zelin Hu, 2025. "Potato Disease and Pest Question Classification Based on Prompt Engineering and Gated Convolution," Agriculture, MDPI, vol. 15(5), pages 1-16, February.
    10. Ke Yang & Yunlong Zhou & Hengliang Shi & Rui Yao & Zhaoyang Yu & Yanhua Zhang & Baoliang Peng & Jiali Fan & Zhichao Hu, 2024. "Research and Experiments on Adaptive Root Cutting Using a Garlic Harvester Based on a Convolutional Neural Network," Agriculture, MDPI, vol. 14(12), pages 1-25, December.
    11. Fengyun Xie & Yang Wang & Gan Wang & Enguang Sun & Qiuyang Fan & Minghua Song, 2024. "Fault Diagnosis of Rolling Bearings in Agricultural Machines Using SVD-EDS-GST and ResViT," Agriculture, MDPI, vol. 14(8), pages 1-16, August.
    12. Xuhua Dong & Jingbang Pan, 2025. "DHS-YOLO: Enhanced Detection of Slender Wheat Seedlings Under Dynamic Illumination Conditions," Agriculture, MDPI, vol. 15(5), pages 1-23, February.
    13. Chenyi Zhao & Changchun Li & Xin Wang & Xifang Wu & Yongquan Du & Huabin Chai & Taiyi Cai & Hengmao Xiang & Yinghua Jiao, 2025. "Plant Disease Segmentation Networks for Fast Automatic Severity Estimation Under Natural Field Scenarios," Agriculture, MDPI, vol. 15(6), pages 1-17, March.
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