Smart Agriculture (eBook, PDF)

Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things
Redaktion: Patel, Govind Singh; Singh, R. P.; Das, Nripendra Narayan; Rai, Amrita

• Format: PDF

Produktbeschreibung

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. There are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 254
• Erscheinungstermin: 10. Februar 2021
• Englisch
• ISBN-13: 9781000327878
• Artikelnr.: 60733407

Autorenporträt

Dr. Govind Singh Patel has a PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Lovely Professional University, Jalandhar, PB, India, and has published more than 45 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN and more. Dr. Amrita Rai received PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. She is working as Associate Professor in UPTU, India. She has published more than 40 papers in National and International Journals. Dr. Nripendra Narayan Das received PhD in Computer Science Engineering from Gautam Budda University, UP, India. He is working as Associate Professor in Manipal University, Jaipur, India. He has published more than 30 papers in National and International Journals. Dr. R. P. Singh is working as Assistant Professor in School of Electrical and Computer Engineering, Haramaya Institute of Technology, Haramaya University, Diredawa, Ethopia, Africa. He has published more than 25 papers in National and International Journals.

Inhaltsangabe

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.