Author: Roger Keith Iddings
Publisher:
ISBN:
Category :
Languages : en
Pages : 384
Book Description
Farm Computer Use and Learning Style
Resources in Education
Dissertation Abstracts International
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 474
Book Description
Abstracts of dissertations available on microfilm or as xerographic reproductions.
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 474
Book Description
Abstracts of dissertations available on microfilm or as xerographic reproductions.
Data-Driven Farming
Author: Syed Nisar Hussain Bukhari
Publisher: CRC Press
ISBN: 1040037232
Category : Computers
Languages : en
Pages : 301
Book Description
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Publisher: CRC Press
ISBN: 1040037232
Category : Computers
Languages : en
Pages : 301
Book Description
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Extension Review
Author:
Publisher:
ISBN:
Category : Agricultural extension work
Languages : en
Pages : 164
Book Description
Publisher:
ISBN:
Category : Agricultural extension work
Languages : en
Pages : 164
Book Description
Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
Author: Demet Canga
Publisher: Livre de Lyon
ISBN: 2382362731
Category : Technology & Engineering
Languages : en
Pages : 53
Book Description
Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
Publisher: Livre de Lyon
ISBN: 2382362731
Category : Technology & Engineering
Languages : en
Pages : 53
Book Description
Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
Computers on the Farm
Author: Deborah Takiff Smith
Publisher: Good Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 59
Book Description
In 'Computers on the Farm' by Deborah Takiff Smith, the author explores the integration of technology into the agricultural industry. Through a combination of case studies and data analysis, Smith delves into the impact of computer usage on modern farming practices, highlighting the benefits and challenges faced by farmers. The book presents a blend of technical information and real-world examples, offering readers a comprehensive view of this evolving trend within the agricultural sector. Smith's writing is clear and concise, making complex concepts accessible to a wide audience. 'Computers on the Farm' is a timely contribution to the field of agricultural technology, shedding light on the increasing importance of digital tools in farming operations. It serves as a valuable resource for researchers, policymakers, and farmers seeking to understand the role of technology in shaping the future of agriculture.
Publisher: Good Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 59
Book Description
In 'Computers on the Farm' by Deborah Takiff Smith, the author explores the integration of technology into the agricultural industry. Through a combination of case studies and data analysis, Smith delves into the impact of computer usage on modern farming practices, highlighting the benefits and challenges faced by farmers. The book presents a blend of technical information and real-world examples, offering readers a comprehensive view of this evolving trend within the agricultural sector. Smith's writing is clear and concise, making complex concepts accessible to a wide audience. 'Computers on the Farm' is a timely contribution to the field of agricultural technology, shedding light on the increasing importance of digital tools in farming operations. It serves as a valuable resource for researchers, policymakers, and farmers seeking to understand the role of technology in shaping the future of agriculture.
The Relationships Between Computer Use and Canterbury Dairy Farmers' Goals, Personality Traits and Learning Styles
Author: Jorge Alvarez
Publisher:
ISBN:
Category : Dairy farmers
Languages : en
Pages : 50
Book Description
Publisher:
ISBN:
Category : Dairy farmers
Languages : en
Pages : 50
Book Description
The ... Yearbook of Agriculture
Agriculture and Environment Perspectives in Intelligent Systems
Author: A. Muñoz
Publisher: IOS Press
ISBN: 1614999694
Category : Computers
Languages : en
Pages : 122
Book Description
The eventual aim when applying digital technologies in agriculture is to replace or reduce the human labor required for agricultural production. Large amounts of heterogeneous data are essential for integration studies of automated agriculture, and the digitalization of agriculture is helping to fulfill the demand for this data, but management of the data gathered presents its own challenges. That is where the Intelligent Environment (IE) paradigm comes into play to guide the design of the systems, techniques and algorithms able to analyze the data and provide recommendations for farmers, managers and other stakeholders. This book, Agriculture and Environment Perspectives in Intelligent Systems, is divided into 5 chapters. Chapter 1 explores the use of intelligent systems in Controlled Environment Agriculture (CEA) facilities; Chapter 2 reviews the adoption of intelligent systems in the research field of biomonitoring; Chapter 3 proposes an intelligent system to acquire and pre-process data for precision agriculture applications; Chapter 4 illustrates the use of intelligent algorithms to make more efficient use of scarce resources such as water; and Chapter 5 focuses on the generation of intelligent models to predict frosts in crops in south-eastern Spain. There is still a need to bridge the gap between the needs of farmers, environmental managers and stakeholders and the solutions offered by information and communication technology. This book will be of interest to all those working in the field.
Publisher: IOS Press
ISBN: 1614999694
Category : Computers
Languages : en
Pages : 122
Book Description
The eventual aim when applying digital technologies in agriculture is to replace or reduce the human labor required for agricultural production. Large amounts of heterogeneous data are essential for integration studies of automated agriculture, and the digitalization of agriculture is helping to fulfill the demand for this data, but management of the data gathered presents its own challenges. That is where the Intelligent Environment (IE) paradigm comes into play to guide the design of the systems, techniques and algorithms able to analyze the data and provide recommendations for farmers, managers and other stakeholders. This book, Agriculture and Environment Perspectives in Intelligent Systems, is divided into 5 chapters. Chapter 1 explores the use of intelligent systems in Controlled Environment Agriculture (CEA) facilities; Chapter 2 reviews the adoption of intelligent systems in the research field of biomonitoring; Chapter 3 proposes an intelligent system to acquire and pre-process data for precision agriculture applications; Chapter 4 illustrates the use of intelligent algorithms to make more efficient use of scarce resources such as water; and Chapter 5 focuses on the generation of intelligent models to predict frosts in crops in south-eastern Spain. There is still a need to bridge the gap between the needs of farmers, environmental managers and stakeholders and the solutions offered by information and communication technology. This book will be of interest to all those working in the field.