Identification of Paddy Stages from Images using Deep Learning Article Swipe
Himanshushekhar Chaurasia
,
Alka Arora
,
Dhandapani Raju
,
Sudeep Marwaha
,
Viswanathan Chinnusamy
,
Rajni Jain
,
Mrinmoy Ray
,
Rabi Narayan Sahoo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.56093/jisas.v78i1.9
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.56093/jisas.v78i1.9
Rice, a crucial global staple, is integral to food security. Precise identification of paddy growth stages, booting, heading, anthesis, grain filling, and grain maturity is vital for agricultural decisions. However, a gap exists in recognizing these stages using red-green-blue (RGB) images. This study uses state-of-the-art computer vision and deep learning classification (Convolutional Neural Networks) algorithms to address this gap. Among the studied algorithms, EfficientNet_B0 achieved an impressive 82.8% overall accuracy. Notably, increasing image size from 64X64 pixels to 128X128 pixels significantly enhanced accuracy. A detailed assessment of growth stages revealed varying accuracy levels, with boot leaf being the most accurately detected (95.1%) and anthesis being the most challenging (72.28%). This work significantly advances automated monitoring, empowering researchers in real-time decision-making.
Related Topics
Concepts
RGB color model
Artificial intelligence
Deep learning
Convolutional neural network
Identification (biology)
Pixel
Computer science
Anthesis
Agricultural engineering
Maturity (psychological)
Computer vision
Machine learning
Agronomy
Engineering
Cultivar
Developmental psychology
Biology
Psychology
Botany
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.56093/jisas.v78i1.9
- https://epubs.icar.org.in/index.php/JISAS/article/download/151436/54515
- OA Status
- bronze
- Cited By
- 2
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396807294
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396807294Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.56093/jisas.v78i1.9Digital Object Identifier
- Title
-
Identification of Paddy Stages from Images using Deep LearningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-10Full publication date if available
- Authors
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Himanshushekhar Chaurasia, Alka Arora, Dhandapani Raju, Sudeep Marwaha, Viswanathan Chinnusamy, Rajni Jain, Mrinmoy Ray, Rabi Narayan SahooList of authors in order
- Landing page
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https://doi.org/10.56093/jisas.v78i1.9Publisher landing page
- PDF URL
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https://epubs.icar.org.in/index.php/JISAS/article/download/151436/54515Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://epubs.icar.org.in/index.php/JISAS/article/download/151436/54515Direct OA link when available
- Concepts
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RGB color model, Artificial intelligence, Deep learning, Convolutional neural network, Identification (biology), Pixel, Computer science, Anthesis, Agricultural engineering, Maturity (psychological), Computer vision, Machine learning, Agronomy, Engineering, Cultivar, Developmental psychology, Biology, Psychology, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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