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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제16권 제5호
- 발행연도
- 2020.1
- 수록면
- 1,015 - 1,033 (19page)
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초록· 키워드
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With promising results and enormous capability, deep learning technology has attracted more and moreattention to both theoretical research and applications for a variety of image processing and computer visiontasks. In this paper, we investigate 32 research contributions that apply deep learning techniques to theagriculture domain. Different types of deep neural network architectures in agriculture are surveyed and thecurrent state-of-the-art methods are summarized. This paper ends with a discussion of the advantages anddisadvantages of deep learning and future research topics. The survey shows that deep learning-based researchhas superior performance in terms of accuracy, which is beyond the standard machine learning techniquesnowadays.
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참고문헌 (77)
참고문헌 신청
A. Singh / 2016 / Machine learning for high-throughput stress phenotyping in plants / Trends in Plant Science 21(2):110~124
S. Park / 2016 / Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions / Agricultural and Forest Meteorology 216:157~169
D. C. Duro / 2012 / A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery / Remote Sensing of Environment 118:259~272
R. Lang / 2020 / Graph-based semi-supervised one class support vector machine for detecting abnormal lung sounds / Applied Mathematics and Computation 364
Y. Liu / 2019 / Convolutional neural network for hyperspectral data analysis and effective wavelengths selection / Analytica Chimica Acta 1086:46~54
S. Park / 2016 / Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions / Agricultural and Forest Meteorology 216:157~169
D. C. Duro / 2012 / A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery / Remote Sensing of Environment 118:259~272
R. Lang / 2020 / Graph-based semi-supervised one class support vector machine for detecting abnormal lung sounds / Applied Mathematics and Computation 364
Y. Liu / 2019 / Convolutional neural network for hyperspectral data analysis and effective wavelengths selection / Analytica Chimica Acta 1086:46~54
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