Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things /
"This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet...
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| Other Authors: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press/Balkema/Taylor & Francis Group,
[2021]
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Taylor & Francis OCLC metadata license agreement |
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Table of Contents:
- Machine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming,Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.
Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things /