Land Reclamation in Ecological Fragile Areas contains the proceedings of the 2nd International Symposium on Land Reclamation and Ecological Restoration (LRER 2017, Xi’an, China, 20-23 October 2017). The contributions cover a wide range of topics: • Mining impact on environment • Monitoring, prediction and assessment of mining impact on land environment • Mining methods and measurements to minimize the land and environment impact • Mining and reclamation policies, regulations and standard • AMD treatment • Soil and landscape reconstruction • Revegetation and biodiversity protection • Subsidence land reclamation and ecological restoration • Surface mined land reclamation and ecological restoration • Solid wastes management, waste dump and tailings pond restoration • Case study • Abandoned mine land reclamation and ecological restoration • Contaminated land remediation • Reclaimed land monitoring and evaluation • Land reclamation supervision • Products and industrialization • Education, technology transfer and international cooperation of mine land reclamation • “The Belt and Road Initiative” and mine land restoration Land Reclamation in Ecological Fragile Areas will be of interest to engineers,scientists, consultants, government officials and students in this area.

This book uses real-world examples from the aquaculture industry to demonstrate how deep technology is assisting farmers and vulnerable communities. Works conducted by Poseidon-AI (a deep tech company involved in the aquaculture sector) in different countries are presented as case studies to show the positive impacts of deep tech involvement in the aquaculture sector. Primary industries, such as fisheries and aquaculture, rely heavily on labor. Furthermore, the manual practices of these farming methods increase material waste and reduce yields, resulting in higher costs and lower revenues. Poikilotherms make up the majority of aquatic animals, and environmental changes have a significant impact on them. This means that, due to climate change, farming of these animals cannot continue in the same way that it has for centuries. Artificial intelligence, machine learning, image processing, sensing, and automation are approaches that can assist these farms in dealing with rapid environmental changes while also assisting farmers in growing their businesses sustainably. This book is of interest to climate change scientists, entrepreneurs, investors, civil workers, and policymakers. Furthermore, the book is a great complimentary material for graduate students of fisheries, aquaculture, ecology, soil science, water management and environmental sciences. All national and international policymakers working in implementation of UNSDGs and sustainability, will find this book a useful read.