Robotics, Machinery and Engineering Technology for Precision Agriculture: Proceedings of XIV International Scientific Conference "INTERAGROMASH 2021"

This book is a collection of papers from the "INTERAGROMASH 2021" conference, covering various applications of unmanned aerial systems, satellite-based precision agriculture, soil and crop sensing, spatial analysis, and more.

Format: Hardback
Length: 689 pages
Publication date: 05 October 2021
Publisher: Springer Verlag, Singapore

This book is a comprehensive compilation of papers presented at the XIV International Scientific Conference "INTERAGROMASH 2021," which took place at Don State Technical University in Rostov-on-Don, Russia, from February 24 to 26, 2021. The research findings showcased in this volume encompass a wide range of applications involving unmanned aerial systems, satellite-based precision agriculture solutions, soil and crop proximal and remote sensing, spatial analysis, variable-rate technology, embedded sensing systems, drainage optimization, variable-rate irrigation, wireless sensor networks, the 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.

The conference, held under the auspices of the International Association of Agricultural Science and Technology (IAAST), brought together experts and researchers from around the world to discuss the latest advancements and innovations in the field of agriculture. The papers presented in this book cover a diverse range of topics, including precision agriculture technologies, data management and analysis, crop monitoring and management, soil health and fertility, irrigation and water management, and environmental sustainability.

One of the key themes of the conference was the integration of advanced technologies such as unmanned aerial systems (UAS), remote sensing, and artificial intelligence (AI) into agriculture. UAS, for instance, are being used to map crops, monitor soil moisture, and detect pests and diseases, providing farmers with valuable insights into crop health and productivity. Remote sensing, on the other hand, is being used to collect large amounts of data on soil, crop, and environmental conditions, which can be used to optimize crop management practices and improve decision-making.

Another important area of focus was the development of satellite-based precision agriculture solutions. These solutions use satellite imagery and other remote sensing data to provide farmers with precise information about crop growth, soil conditions, and environmental factors, allowing them to make informed decisions about planting, fertilization, and irrigation.

The papers in this book also explore the use of variable-rate technology, which allows farmers to apply different rates of fertilizer, water, and other inputs based on specific crop needs and environmental conditions. This technology can help reduce waste, improve crop yields, and minimize the environmental impact of agriculture.

Embedded sensing systems are another area of interest in precision agriculture. These systems use sensors and other technologies to monitor crop growth, soil conditions, and environmental factors in real-time, providing farmers with timely and accurate information to make informed decisions.

Drainage optimization and variable-rate irrigation are also important areas of research in precision agriculture. These technologies can help improve water management, reduce soil erosion, and optimize crop yields by providing farmers with precise information about water needs and soil conditions.

Wireless sensor networks are being used to monitor crops and soil conditions in remote areas, providing farmers with real-time information and enabling them to make informed decisions about crop management.

The Internet of Things (IoT) is also playing an increasingly important role in precision agriculture. IoT technologies allow farmers to connect their crops and equipment to the internet, enabling them to monitor and control their operations remotely. This can help reduce labor costs, improve efficiency, and increase crop yields.

Robotics is being used in precision agriculture to automate tasks such as planting, harvesting, and irrigation. Robots can provide farmers with precise and efficient operations, reducing the need for manual labor and improving productivity.

Guidance and automation are also important areas of research in precision agriculture. These technologies use sensors, AI, and other technologies to provide farmers with real-time guidance and recommendations on crop management practices. This can help farmers optimize their operations and improve crop yields.

Software and mobile apps for precision agriculture are also being developed to provide farmers with easy access to information and tools for managing their crops. These apps can help farmers track crop growth, monitor soil conditions, and make informed decisions about crop management.

Decision support for precision agriculture and data mining for precision agriculture are also important areas of research. These technologies use data analysis and machine learning to provide farmers with insights into crop growth, soil conditions, and environmental factors, allowing them to make informed decisions about crop management.

In conclusion, this book is a valuable resource for researchers, practitioners, and policymakers interested in the latest advancements and innovations in precision agriculture. The papers presented in this volume cover a wide range of topics, including precision agriculture technologies, data management and analysis, crop monitoring and management, soil health and fertility, irrigation and water management, and environmental sustainability. The integration of advanced technologies such as UAS, remote sensing, AI, variable-rate technology, embedded sensing systems, drainage optimization, variable-rate irrigation, wireless sensor networks, IoT, robotics, guidance and automation, software and mobile apps, decision support for precision agriculture, and data mining for precision agriculture is a key theme of the conference, and the papers in this book provide valuable insights into these areas.

Weight: 1214g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811638435
Edition number: 1st ed. 2022