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Author: DIZZY DAVIDSON
Publisher: Pure Water Books
ISBN:
Category : Computers
Languages : en
Pages : 119
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Book Description
Struggling to fully grasp the potential of AI in agriculture? Wondering how AI can revolutionize farming practices and boost productivity? Look no further! “AI in Agriculture: Harnessing Smart Farm Fields For the Future” is your ultimate guide to understanding and leveraging AI in the agricultural sector. This book demystifies complex AI concepts and demonstrates their practical applications in farming. Benefits of Reading This Book: Unlock the Power of AI: Learn how AI can transform crop and soil monitoring, pest and disease detection, and precision farming. Enhance Livestock Management: Discover AI systems that monitor livestock health and behavior, ensuring early illness detection and improved animal welfare. Optimize Farm Operations: Understand the role of AI in intelligent spraying, autonomous equipment, and yield prediction to increase efficiency and reduce costs. Stay Ahead with Weather Forecasting: Utilize AI-driven weather prediction tools to plan and mitigate adverse weather impacts. Ensure Quality Control: Explore AI systems for produce grading and sorting, ensuring consistency and reducing waste. This book is a comprehensive resource for anyone looking to delve into the world of AI in agriculture. It provides detailed insights, real-world examples, and practical tips to help you apply AI concepts effectively. Why This Book is Essential: In-Depth Coverage: Covers all key aspects of AI applications in agriculture, from crop monitoring to aerial imaging. Practical Insights: Offers actionable advice and case studies to illustrate successful AI implementations. Future-Oriented: Explores emerging trends and technologies, preparing you for the future of smart farming. Bullet Points AI-Powered Drones: Monitor crop health and soil conditions in real-time. Early Pest Detection: Use AI algorithms to detect pests and diseases early. Precision Farming: Optimize planting, watering, and fertilizing schedules. Livestock Monitoring: Ensure animal welfare with AI health monitoring systems. Autonomous Equipment: Increase efficiency with AI-driven tractors and harvesters. Yield Prediction: Make informed decisions with AI models predicting crop yields. Weather Forecasting: Plan activities with accurate AI-driven weather forecasts. Produce Grading: Ensure quality and reduce waste with AI grading systems. Aerial Imaging: Assess farm conditions with AI-powered drone surveys. Call to Action: Get your copy of “AI in Agriculture: Harnessing Smart Farm Fields For the Future” today and unlock the full potential of AI in your farming practices. Become knowledgeable about AI and transform your agricultural operations for a sustainable and productive future.
Author: DIZZY DAVIDSON
Publisher: Pure Water Books
ISBN:
Category : Computers
Languages : en
Pages : 119
Get Book Here
Book Description
Struggling to fully grasp the potential of AI in agriculture? Wondering how AI can revolutionize farming practices and boost productivity? Look no further! “AI in Agriculture: Harnessing Smart Farm Fields For the Future” is your ultimate guide to understanding and leveraging AI in the agricultural sector. This book demystifies complex AI concepts and demonstrates their practical applications in farming. Benefits of Reading This Book: Unlock the Power of AI: Learn how AI can transform crop and soil monitoring, pest and disease detection, and precision farming. Enhance Livestock Management: Discover AI systems that monitor livestock health and behavior, ensuring early illness detection and improved animal welfare. Optimize Farm Operations: Understand the role of AI in intelligent spraying, autonomous equipment, and yield prediction to increase efficiency and reduce costs. Stay Ahead with Weather Forecasting: Utilize AI-driven weather prediction tools to plan and mitigate adverse weather impacts. Ensure Quality Control: Explore AI systems for produce grading and sorting, ensuring consistency and reducing waste. This book is a comprehensive resource for anyone looking to delve into the world of AI in agriculture. It provides detailed insights, real-world examples, and practical tips to help you apply AI concepts effectively. Why This Book is Essential: In-Depth Coverage: Covers all key aspects of AI applications in agriculture, from crop monitoring to aerial imaging. Practical Insights: Offers actionable advice and case studies to illustrate successful AI implementations. Future-Oriented: Explores emerging trends and technologies, preparing you for the future of smart farming. Bullet Points AI-Powered Drones: Monitor crop health and soil conditions in real-time. Early Pest Detection: Use AI algorithms to detect pests and diseases early. Precision Farming: Optimize planting, watering, and fertilizing schedules. Livestock Monitoring: Ensure animal welfare with AI health monitoring systems. Autonomous Equipment: Increase efficiency with AI-driven tractors and harvesters. Yield Prediction: Make informed decisions with AI models predicting crop yields. Weather Forecasting: Plan activities with accurate AI-driven weather forecasts. Produce Grading: Ensure quality and reduce waste with AI grading systems. Aerial Imaging: Assess farm conditions with AI-powered drone surveys. Call to Action: Get your copy of “AI in Agriculture: Harnessing Smart Farm Fields For the Future” today and unlock the full potential of AI in your farming practices. Become knowledgeable about AI and transform your agricultural operations for a sustainable and productive future.
Author: Sharma, Dipanker
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 471
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Book Description
Organizations are facing an array of complex challenges that demand innovative solutions. From managing a diverse workforce and harnessing the power of data analytics to adapting to remote work and the pressing need for emotionally intelligent leaders, the demands on modern businesses are constantly evolving and increasing. Staying ahead of these challenges is not only essential for survival but also for thriving in an ever-changing environment. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations is a compass that guides academic scholars, students, and practitioners through the turbulent seas of modern business management. It dissects the problems and offers clear, well-researched solutions. With a team of respected researchers, academicians, and professionals at the helm, this book is a beacon of knowledge, illuminating the path to success in today's business landscape.
Author: Naim, Arshi
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 422
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Book Description
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.
Author: Suneeta Satpathy
Publisher: CRC Press
ISBN: 1040254780
Category : Technology & Engineering
Languages : en
Pages : 301
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Book Description
This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices. Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies. This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.
Author: Dr Rajeev Agrawal
Publisher: CRC Press
ISBN: 1040155634
Category : Computers
Languages : en
Pages : 443
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Book Description
In the past few weeks, OpenAI has released ChatGPT (Chat Generative Pre-trained Transformer). ChatGPT emerges as a formidable chatbot, surpassing various iterations of the GPT model, and plays a transformative role in user interactions with AI systems. In the dynamic realm of AI technologies, influential applications like ChatGPT, developed by OpenAI, mir□ror the transformative consideration of the simplicity on multiple facets of our daily lives. This potent technology holds the potential for significant positive changes, particularly in healthcare where the introduction of GPT and chatbot models opens promising avenues for disease treatment and technological innovation.
Author: Gupta, Rajeev Kumar
Publisher: IGI Global
ISBN: 1668485184
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all available modern technologies and agricultural science for economic and environmentally sustainable crop production. In this direction, artificial intelligence (AI) serves as a budding solution in the domain of agriculture practices. Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices discusses various tools and technologies that can be used in smart farming and agriculture practice and explores the role of different emerging technologies like the internet of things, big data, machine learning, deep learning, and AI from agricultural prospects. Covering key topics such as farming, pests, soil, and weeds, this premier reference source is ideal for environmentalists, farmers, agriculturalists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Gulshan Shrivastava
Publisher: John Wiley & Sons
ISBN: 111962116X
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
As we enter the Industrial Revolution 4.0, demands for an increasing degree of trust and privacy protection continue to be voiced. The development of blockchain technology is very important because it can help frictionless and transparent financial transactions and improve the business experience, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements in the way we work, teach, learn and care for ourselves and each other. Blockchain is an eccentric technology, but at the same time, the least understood and most disruptive technology of the day. This book covers the latest technologies of cryptocurrencies and blockchain technology and their applications. This book discusses the blockchain and cryptocurrencies related issues and also explains how to provide the security differently through an algorithm, framework, approaches, techniques and mechanisms. A comprehensive understanding of what blockchain is and how it works, as well as insights into how it will affect the future of your organization and industry as a whole and how to integrate blockchain technology into your business strategy. In addition, the book explores the blockchain and its with other technologies like Internet of Things, big data and artificial intelligence, etc.
Author: Dr. Surender Kumar Yadav
Publisher: GEH Press
ISBN: 819760794X
Category : Computers
Languages : en
Pages : 311
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Book Description
IoT stands for the Internet of Things. It refers to the network of physical objects or "things" embedded with sensors, software, and other technologies that enable them to connect and exchange data with other devices and systems over the internet. These objects can range from everyday items such as household appliances, wearable devices, and vehicles to industrial machines and infrastructure components.
Author: Sirisha Potluri
Publisher: CRC Press
ISBN: 1040098126
Category : Computers
Languages : en
Pages : 215
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Book Description
This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.
Author: Mohamed Abdel-Basset
Publisher: CRC Press
ISBN: 1003861857
Category : Computers
Languages : en
Pages : 315
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Book Description
This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming. Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions—volume, velocity, variety, veracity, and valuation—within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications. This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions. Features: • Explores different types of smart framing systems for achieving sustainability goals in the real environment • Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing • Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically • Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area • Discusses AI-empowered Nanotechnology for smart farming
