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 Название: The Digital Age in Agriculture
Автор: Mehmet Metin Ozguven
Издательство: CRC Press
Год: 2023
Страниц: 307
Язык: английский
Формат: pdf (true)
Размер: 109.4 MB
The Digital Age in Agriculture presents information related to the digital age in the agriculture sector. Agriculture is an essential activity for the continuity of life, yet is very labor-intensive and faces a wide variety of challenges. In the struggle against these difficulties, the superior features offered by technology provide important benefits. These technologies require expertise in various technical disciplines, and The Digital Age in Agriculture provides information to readers allowing them to make more informed decisions and giving them the opportunity to improve agricultural productivity.
Written by Mehmet Metin Ozguven, an expert who has conducted field studies and with a working technical knowledge of various topics pertaining to the agriculture age, this book covers many subjects important to the age of digital agriculture, including precision agriculture and livestock farming, using agricultural robots and unmanned arial vehicles in agriculture practices, and image processing and machine vision. It is an essential read for researchers, agriculture sector workers, and agricultural engineers.
Robots are the most advanced automation systems. There are fundamental differences between automation and robots. In automation, often repetitive tasks are performed to evaluate the data coming from the sensors and to provide the desired output. The robot, on the other hand, must be able to move, perceive and define its environment during its movement, and make choices in order to perform a specified task. Therefore, a robot is a programmable mechanical device used to perform certain physical activities or tasks involving decision-making. In addition to the controlled robots, there are also robots that work autonomously (by themselves, without human intervention).
As a result of the rapid developments in information technology following the mechanization, automation, and control technologies during the development period of agricultural production, today, intelligent machines and production systems that control machines have begun to take over traditional production methods. Information technology consists of hardware, algorithms, and software developed for the management of the collection, processing, storage, transfer, and use of information processes. The implementation of present knowledge and experiences in agriculture together with machine learning, deep learning, artificial intelligence, modeling, and simulation applications enabled the development of real-time and automated expert systems, autonomous tractors or agricultural machines, and agricultural robotics applications. These advances provide some of the impetus for agricultural robots as a technology enabling food production.
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