Smart Forestry 5.0 invites you to submit unpublished research chapters in Smart Environment exploring the field of IoT, AI and Machine Learning. 

The book "Smart Environment with Forestry 5.0: Exploring the Integration of IoT, AI, and Machine Learning in Eco-system" explores how cutting edge technologies are changing forest ecosystems and how they affect them. An introduction to using the Internet of Things (IoT) for various forest types, such as tropical, subtropical, temperate, natural, and plantation forests, opens the book. It presents cutting-edge techniques for sustainable timber harvesting through smart forest management and investigates the combination of artificial intelligence and remote sensing for monitoring biomass and forest health. 

Submission Guidelines

We are pleased to invite you to contribute your research as a chapter in the book titled “Smart Environment with Forestry 5.0: Exploring the Integration of IoT, AI, and Machine Learning in Eco-system” to be published by Apple Academic Press.

• No Publication Fee.
• Similarity Index should be less than 10%.
• All chapters must be original and simultaneously not submitted to another journal or conference or book.

Template

Length of Chapter could be between 15 - 20 Pages (approx).

File Format: MS Word (.doc or .docx)

Times New Roman - 11 Points with 1.5 Spacing.

Single Column Page Layout

All text, figures, equations, and images should be original and in open (editable) format, Please provide them in at least 300 dpi.

Table of Content / Full Chapters Not limited to :

• Introduction on Leveraging IoT for Forest Ecosystem and Tailored approaches for Tropical, Subtropical, Temperate, Natural, and Plantation Forests.
• Remote Sensing and Artificial intelligence based Monitoring Forest Health and Biomass.
• Smart Forest Management with Integrating Internet of Things for Sustainable Timber Harvesting.
• Machine Learning Applications in Wildlife Conservation and Habitat Monitoring system.
• Real-Time Forest Fire Detection and Prevention Using smart technologies.
• Leveraging Internet of things for Efficient Resource Management in forestry.
• IoT-based forest Inventory and Timber tracking Systems along with machine learning.
• Enhancing Safety and Efficiency with integration of IoT devices and deep learning.
• IoT Solutions for Illegal Logging Detection and Prevention.
• Monitoring and mitigation of Climate Change Adaptation in Forestry using Internet of things and Artificial Intelligence.
• Community-based Forest Management with Artificial Intelligence and engaging Local Stakeholders for Sustainable Practices.
• Applications of IoT and Machine Learning in Soil Carbon Sequestration and monitoring of carbon capture and storage facilities.
• IoT based Sustainable water resource management.
• AI based Water quality and marine ecosystem monitoring.

Editors

Dr. Sanjay Saini , Department of Physics and Computer Science, Dayalbagh Educational Institute , Agra , India.

Mr. Amarjeet Singh Chauhan, Department of Physics and Computer Science, Dayalbagh Educational Institute , Agra , India.

Mr. Mohit Yadav, Department of Physics and Computer Science, Dayalbagh Educational Institute , Agra , India.

Contact

All questions about submissions and any query should be emailed to : smartforestbook@gmail.com