Soft Computing And Optimization Techniques For Sustainable Agriculture

This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture. A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.

This book contains 34 technical papers presented at the Advances in Architectural Geometry Conference held in Stuttgart 2023. Modern geometric computing increasingly plays a role in modeling environments and processing sensing information, providing a variety of tools for the efficient design, analysis, and manufacturing of complex shapes. The research area of architectural geometry (AG) has emerged at the common border of architecture, applied geometry, computational design, mathematics, and manufacturing. This book presents the state of the art of research in AG.

This book explores sustainability and innovation in manufacturing, encompassing three distinct parts. The first section delves into Sustainability in Manufacturing, where it analyzes topics like intelligent manufacturing, Industry 4.0 challenges, structural equation modeling for social sustainability, barriers to intelligent manufacturing systems, and critical success factors in Six Sigma deployment. The second part of the book, comprising Chapters 6-11, focuses on Ergonomics and Safety in manufacturing, examining cases related to health issues caused by factors like noise, high-temperature working conditions, ergonomic posture, and design attributes for ergonomic products. Lastly, Part III, consisting of Chapters 12-14, explores computational techniques applied in manufacturing, addressing issues such as vegetable waste in India, technology transfer models for university-industry collaboration, and the application of System Dynamics in safety management systems. Together, these chapters provide a comprehensive overview of sustainability, ergonomics, safety, and computational techniques in the manufacturing industry.

This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

This book is about occupational health and safety in the workplace. Work-related productivity has been decreasing in most of the labor-intensive sectors on account of the fatigue and discomfort in workplaces, which is the most significant factor for consideration at all levels. Moreover, improper workplace design leads to most of the occupational accidents as well as injuries in production sites. This book explores discomfort in working environments and its impact on mental health in varying workplaces. It then offers some innovative solutions to provide comfort, safety, and sustainability in workplaces to reduce mental workload.