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Reflecting the results of twenty years; experience in the field of multipurpose flights, this monograph includes the complex routes of the;
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Reflecting the results of twenty years; experience in the field of multipurpose flights, this monograph includes the complex routes of the;
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Handbook of Agricultural Economics, Volume Five highlights new advances in the field, with this new release exploring comprehensive;
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in agricultural networks. Updates and informs the reader on the latest research findings Written by leading experts in the field
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autonomously with the help of the computers present on board. Unmanned air vehicles are often used for the missions that are too dangerous for humans;
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Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;
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machines. The author explores a common problem that hinders machine performance when harvesting with very large headers. He deals with concepts for;
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This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards;
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specially for students to make them understand the basic and most complex techniques of this field. Machine tool refers to machines that are used;
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Agricultural cooperatives are widespread in rural areas mainly for providing or supplying farm inputs at low cost and to sell their produce;
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within the field of environmental economics. However, geographical information systems (GIS) allow economists to tackle such complexity head on;
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were made though manually operated machines. Due to this, manufacturers could not make complex profiles or shapes with high accuracy. As a;
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literature and techniques used in the field of agricultural economy research, with a focus on the transformation of Romanian agriculture in order to;
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and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural;
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form it can range from manually calculating descriptive statistics to the use of computer-assisted methodologies. However, non-traditional;
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within the field of environmental economics. However, geographical information systems (GIS) allow economists to tackle such complexity head on;
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This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important;
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This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important;
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practitioners, for researchers, scholars, and producers. The materials presented here can be used in the educational process at specific agricultural;
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the challenges to the remote optimisation of agricultural machinery operations for seeding, fertilising, crop protecting, and harvesting;
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demonstrates that these were multipurpose facilities that were used for traveling theater, concerts, religious events, lectures, commencements, boxing;
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of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning;
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Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this;
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play as a research method in the marketing field. The fundamental goal of machine learning is to generalize beyond the examples provided by;
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mathematical optimization can be used for the tasks in each step. It also includes a description of software systems developed for scientific data;
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environmental impact made by using chemical fertilizers and pesticides. Therefore, new agricultural technologies should be used in order to avoid land;
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