Innovation In Agricultural Robotics For Precision Agriculture
Innovation In Agricultural Robotics For Precision Agriculture Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Innovation In Agricultural Robotics For Precision Agriculture book. This book definitely worth reading, it is an incredibly well-written.
Innovation in Agricultural Robotics for Precision Agriculture by Avital Bechar Pdf
This book provides a review of the state-of-the-art of agricultural robotics in different aspects of PA, the goals, and the gaps. The book introduces the area of Agricultural Robotics for Precision Agriculture (PA) specifically the conditions and limitations for implementing robots in this field and presents the concepts, principles, required abilities, components, characteristics and performance measures, conditions, and rules for robots in PA.
Robotics, Machinery and Engineering Technology for Precision Agriculture by Mark Shamtsyan,Marco Pasetti,Alexey Beskopylny Pdf
This book is a collection of papers presented at XIV International Scientific Conference “INTERAGROMASH 2021”, held at Don State Technical University, Rostov-on-Don, Russia, during 24–26 February 2021. The research results presented in this book cover applications of unmanned aerial systems, satellite-based applications for precision agriculture, proximal and remote sensing of soil and crop, spatial analysis, variable-rate technology, embedded sensing systems, drainage optimization and variable rate irrigation, wireless sensor networks, Internet of things, robotics, guidance and automation, software and mobile apps for precision agriculture, decision support for precision agriculture and data mining for precision agriculture.
XV International Scientific Conference “INTERAGROMASH 2022” by Alexey Beskopylny,Mark Shamtsyan,Viktor Artiukh Pdf
The book contains proceedings of the XV International Scientific Conference INTERAGROMASH 2022, Rostov-on-Don, Russia. The agro-industrial complex is the most extensive and vital industry. It is rapidly developing by introducing the latest technologies and automating various processes necessary for the functioning of this area. The book is dedicated to engineering technologies of precision farming and agricultural robotics. It includes studies on natural resources variability, sustainable soil management, Agro Big Data, Internet of Things, software and mobile apps for precision agriculture, smart weather for precision agriculture, simulations models and decision support systems, expert systems, DGPS, soil physical and chemical characteristic sensors, machinery, etc. Different types of agricultural robots are presented in the book: autonomous fruit picking robots, farming bots that can seed and water plants, test the soil and remove weeds, completely autonomous robot for ecological and economical ultra-high precision spraying and weeding, harvesting robots with the special vision systems that can “see” fruits and understand whether they're ripe and ready to pick, and others. Also, the book covers advances in agricultural biotechnology in such areas of research as crop production improvement practices, genetic modification, as well as microbial biotechnology in agriculture, etc. The book is aimed for scientists, researchers, and graduate students. It is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture. The book is written and edited by international researchers, academics, and experts in the corresponding research areas.
Advances in Agri-Food Robotics by Adamides HENTEN Pdf
This collection explores and reviews the wealth of recent research undertaken in the field of agricultural robotics, both in terms of core technologies and range of applications.
Innovation in Agriculture with IoT and AI by Suchismita Satapathy,Debesh Mishra,Arturo Realyvásquez Vargas Pdf
This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.
Over the past few decades, extensive research has been conducted on the applications of agricultural robots and automation to a variety of field and greenhouse operations, and technical fundamentals and their feasibility have also been widely demonstrated. Due to the unstructured environment, adverse interference and complicated and diversified operation process are the key of blocking its commercialization in robotic agricultural operations. Because of the development of automation techniques, smart sensors, and information techniques, some types of agricultural robots have achieved considerable success in recent years. This book intends to provide the reader with a comprehensive overview of the current state of the art in agricultural robots, fundamentals, and applications in robotic agricultural operations.
XV International Scientific Conference "INTERAGROMASH 2022" by Alexey Beskopylny,Mark Shamtsyan,Viktor Artiukh Pdf
The book contains proceedings of the XV International Scientific Conference INTERAGROMASH 2022, Rostov-on-Don, Russia. The agro-industrial complex is the most extensive and vital industry. It is rapidly developing by introducing the latest technologies and automating various processes necessary for the functioning of this area. The book is dedicated to engineering technologies of precision farming and agricultural robotics. It includes studies on natural resources variability, sustainable soil management, Agro Big Data, Internet of Things, software and mobile apps for precision agriculture, smart weather for precision agriculture, simulations models and decision support systems, expert systems, DGPS, soil physical and chemical characteristic sensors, machinery, etc. Different types of agricultural robots are presented in the book: autonomous fruit picking robots, farming bots that can seed and water plants, test the soil and remove weeds, completely autonomous robot for ecological and economical ultra-high precision spraying and weeding, harvesting robots with the special vision systems that can "see" fruits and understand whether they're ripe and ready to pick, and others. Also, the book covers advances in agricultural biotechnology in such areas of research as crop production improvement practices, genetic modification, as well as microbial biotechnology in agriculture, etc. The book is aimed for scientists, researchers, and graduate students. It is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture. The book is written and edited by international researchers, academics, and experts in the corresponding research areas.
Agricultural Internet of Things and Decision Support for Precision Smart Farming by Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud Pdf
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable
Precision Agriculture for Sustainability by Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee Pdf
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.
According to Prof. D. Despommier, by the year 2050, nearly 80% of the earth's population will reside in urban centers. Furthermore, the human population will increase by about 3 billion people during the interim. New land will be needed to grow enough food to feed them. At present, throughout the world, over 80% of the land that is suitable for raising crops is in use. What can be done to avoid this impending disaster? One possible solution is indoor farming. However, not all crops can easily be moved in an indoor environment. Nevertheless, to secure the food supply, it is necessary to increase the automation level in agriculture significantly. This book intends to provide the reader with a comprehensive overview of the impact of the Fourth Industrial Revolution and automation examples in agriculture.
Fundamentals of Agricultural and Field Robotics by Manoj Karkee,Qin Zhang Pdf
Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. .
Data Science for Agricultural Innovation and Productivity by S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa Pdf
Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.
Smart Agriculture Automation Using Advanced Technologies by Amitava Choudhury,Arindam Biswas,T. P. Singh,Santanu Kumar Ghosh Pdf
This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
Precision Agriculture: Technology and Economic Perspectives by Søren Marcus Pedersen,Kim Martin Lind Pdf
This book presents cases from different countries with a main focus on the perspectives of using precision farming in Europe. Divided into 12 chapters it addresses some of the most recent developments and aspects of precision farming. The intention of this book is to provide an overview of some of the most promising technologies with precision agriculture from an economic point of view. Each chapter has been put together so that it can be read individually should the reader wish to focus on one particular topic. Precision Farming as a farm technology benefits from large-scale advantages due to relatively high investment costs and is primarily adopted on farms with medium to large field areas.
