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Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

Author

Listed:
  • Jibo Yue

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China)

  • Chengquan Zhou

    (Institute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Haikuan Feng

    (Key Laboratory of Quantitative Remote Sensing in Agriculture, Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China)

  • Yanjun Yang

    (Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY 40546, USA)

  • Ning Zhang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

The rapid development of intelligence and automated technologies has provided new management opportunities for agricultural production [...]

Suggested Citation

  • Jibo Yue & Chengquan Zhou & Haikuan Feng & Yanjun Yang & Ning Zhang, 2023. "Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring," Agriculture, MDPI, vol. 13(10), pages 1-4, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1970-:d:1256521
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    References listed on IDEAS

    as
    1. Yinghao Lin & Qingjiu Tian & Baojun Qiao & Yu Wu & Xianyu Zuo & Yi Xie & Yang Lian, 2022. "A Synthetic Angle Normalization Model of Vegetation Canopy Reflectance for Geostationary Satellite Remote Sensing Data," Agriculture, MDPI, vol. 12(10), pages 1-13, October.
    2. Sergey S. Yurochka & Igor M. Dovlatov & Dmitriy Y. Pavkin & Vladimir A. Panchenko & Aleksandr A. Smirnov & Yuri A. Proshkin & Igor Yudaev, 2023. "Technology of Automatic Evaluation of Dairy Herd Fatness," Agriculture, MDPI, vol. 13(7), pages 1-19, July.
    3. Jian Wang & Haiping Si & Zhao Gao & Lei Shi, 2022. "Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products," Agriculture, MDPI, vol. 12(10), pages 1-13, October.
    4. Qianjing Li & Jia Tian & Qingjiu Tian, 2023. "Deep Learning Application for Crop Classification via Multi-Temporal Remote Sensing Images," Agriculture, MDPI, vol. 13(4), pages 1-19, April.
    5. Xueqin Jiang & Shanjun Luo & Qin Ye & Xican Li & Weihua Jiao, 2022. "Hyperspectral Estimates of Soil Moisture Content Incorporating Harmonic Indicators and Machine Learning," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    6. Huishan Li & Lei Shi & Siwen Fang & Fei Yin, 2023. "Real-Time Detection of Apple Leaf Diseases in Natural Scenes Based on YOLOv5," Agriculture, MDPI, vol. 13(4), pages 1-19, April.
    7. Jingyu Hu & Jibo Yue & Xin Xu & Shaoyu Han & Tong Sun & Yang Liu & Haikuan Feng & Hongbo Qiao, 2023. "UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    8. Shanjun Luo & Xueqin Jiang & Weihua Jiao & Kaili Yang & Yuanjin Li & Shenghui Fang, 2022. "Remotely Sensed Prediction of Rice Yield at Different Growth Durations Using UAV Multispectral Imagery," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    9. Hui Zhang & Zhi Wang & Yufeng Guo & Ye Ma & Wenkai Cao & Dexin Chen & Shangbin Yang & Rui Gao, 2022. "Weed Detection in Peanut Fields Based on Machine Vision," Agriculture, MDPI, vol. 12(10), pages 1-15, September.
    10. Qi Wang & Peng Guo & Shiwei Dong & Yu Liu & Yuchun Pan & Cunjun Li, 2023. "Extraction of Cropland Spatial Distribution Information Using Multi-Seasonal Fractal Features: A Case Study of Black Soil in Lishu County, China," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    11. Chunfeng Gao & Xingjie Ji & Qiang He & Zheng Gong & Heguang Sun & Tiantian Wen & Wei Guo, 2023. "Monitoring of Wheat Fusarium Head Blight on Spectral and Textural Analysis of UAV Multispectral Imagery," Agriculture, MDPI, vol. 13(2), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

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