Instant Insights: Advances in Detecting and Forecasting Crop Pests and Diseases PDF Download

Author: Dr Megan Long
Publisher: Burleigh Dodds Science: Instant Insights
ISBN: 9781801465069
Category :
Languages : en
Pages : 0

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Book Description
This collection provides a comprehensive overview of the recent advances in crop pest monitoring and forecasting models. Chapters address emerging technologies in the area, as well as some of the issues and challenges that can arise as a result of implementing particular models.

Author: Khang, Alex
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 598

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Book Description
In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components—such as enzymes or antibodies—on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309473926
Category : Science
Languages : en
Pages : 243

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Book Description
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).

Author: Drew Ashton
Publisher: eBookIt.com
ISBN: 1456654543
Category : Technology & Engineering
Languages : en
Pages : 235

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Book Description
Agriculture Reimagined: Harnessing the Power of AI for a Greener Future In a world where technology touches every facet of life, AI-Powered Agriculture: The Next Green Revolution promises to be a game-changer. Step into a future where artificial intelligence and farming converge to not only secure our food supply but also make agriculture more efficient, sustainable, and resilient than ever before. Ever wondered how AI transforms traditional farming? This book unveils the mysteries of AI and machine learning, making technology accessible for agricultural enthusiasts and experts alike. By diving into the evolution of farming technologies and the pivotal role AI plays today, readers will find themselves embarking on a journey that redefines what's possible in the fields.Imagine farms equipped with real-time data collection systems, capable of analyzing soil health, monitoring crop growth, and detecting pests before they wreak havoc. Witness how AI-driven innovations are revolutionizing water management, ensuring every drop counts, and how autonomous machinery is setting new standards for efficiency and precision. The economic and environmental benefits are staggering. Discover how AI reduces costs, minimizes food wastage, promotes sustainability, and even helps in combating climate change. Through global case studies, learn about successful implementations across diverse climates and cultures, proving that AI in agriculture is not merely a concept for the wealthy but a powerful tool for small-scale and large-scale farmers alike.In addition to practical applications, this book delves into policies, ethical considerations, and the future of AI education in agriculture. With chapters dedicated to funding, investment, and industry partnerships, it provides a comprehensive guide for anyone looking to innovate in this vital sector. Embark on this eye-opening expedition and join the pioneers who are laying the groundwork for the future of food production. Your journey to understanding AI's revolutionary impact on agriculture starts here.

Author: Erich-Christian Oerke
Publisher: Springer Science & Business Media
ISBN: 9048192773
Category : Technology & Engineering
Languages : en
Pages : 450

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Book Description
Precision farming is an agricultural management system using global navigation satellite systems, geographic information systems, remote sensing, and data management systems for optimizing the use of nutrients, water, seed, pesticides and energy in heterogeneous field situations. This book provides extensive information on the state-of-the-art of research on precision crop protection and recent developments in site-specific application technologies for the management of weeds, arthropod pests, pathogens and nematodes. It gives the reader an up-to-date and in-depth review of both basic and applied research developments. The chapters discuss I) biology and epidemiology of pests, II) new sensor technologies, III) applications of multi-scale sensor systems, IV) sensor detection of pests in growing crops, V) spatial and non-spatial data management, VI) impact of pest heterogeneity and VII) precise mechanical and chemical pest control.

Author: Bansi D. Malhotra
Publisher: William Andrew
ISBN: 0128135158
Category : Technology & Engineering
Languages : en
Pages : 334

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Book Description
Nanomaterials for Biosensors: Fundamentals and Applications provides a detailed summary of the main nanomaterials used in biosensing and their application. It covers recent developments in nanomaterials for the fabrication of biosensor devices for healthcare diagnostics, food freshness and bioprocessing. The various processes used for synthesis and characterization of nanostructured materials are examined, along with the design and fabrication of bioelectronic devices using nanostructured materials as building blocks. Users will find the fundamentals of the main nanomaterials used in biosensing, helping them visualize a systematic and coherent picture of how nanomaterials are used in biosensors. The book also addresses the role of bio-conjugation of nanomaterials in the construction of nano-biointerfaces for application in biosensors. Such applications, including metal nanoparticles, metal oxide nanoparticles, nanocomposites, carbon nanotubes, conducting polymers and plasmonic nanostructures in biosensing are discussed relative to each nanomaterial concerned. Finally, recent advancements in protein functionalized nanomaterials for cancer diagnostics and bio-imaging are also included. - Provides a detailed study on how nanomaterials are used to enhance sensing capabilities in biosensors - Explains the properties, characterization methods and preparation techniques of the nanomaterials used in biosensing - Arranged in a material-by-material way, making it clear how each nanomaterial should be used

Author: Singh, Bhupinder
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 648

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Book Description
The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

Author: Mohammad Ayoub Khan
Publisher: Academic Press
ISBN: 0323906680
Category : Business & Economics
Languages : en
Pages : 332

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Book Description
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. - Addresses the technology of smart agriculture from a technical perspective - Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop - Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251340714
Category : Nature
Languages : en
Pages : 245

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Book Description
On top of a decade of exacerbated disaster loss, exceptional global heat, retreating ice and rising sea levels, humanity and our food security face a range of new and unprecedented hazards, such as megafires, extreme weather events, desert locust swarms of magnitudes previously unseen, and the COVID-19 pandemic. Agriculture underpins the livelihoods of over 2.5 billion people – most of them in low-income developing countries – and remains a key driver of development. At no other point in history has agriculture been faced with such an array of familiar and unfamiliar risks, interacting in a hyperconnected world and a precipitously changing landscape. And agriculture continues to absorb a disproportionate share of the damage and loss wrought by disasters. Their growing frequency and intensity, along with the systemic nature of risk, are upending people’s lives, devastating livelihoods, and jeopardizing our entire food system. This report makes a powerful case for investing in resilience and disaster risk reduction – especially data gathering and analysis for evidence informed action – to ensure agriculture’s crucial role in achieving the future we want.

Author: Alexandru Grumezescu
Publisher: Academic Press
ISBN: 0128043725
Category : Science
Languages : en
Pages : 928

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Book Description
Nanobiosensors: Nanotechnology in the Agri-Food Industry, Volume 8, provides the latest information on the increasing demand for robust, rapid, inexpensive, and safe alternative technologies that monitor, test, and detect harmful or potentially dangerous foods. Due to their high sensitivity and selectivity, nanobiosensors have attracted attention for their use in monitoring not only biological contaminants in food, but also potential chemical and physical hazards. This book offers a broad overview regarding the current progress made in the field of nanosensors, including cutting-edge technological progress and the impact of these devices on the food industry. Special attention is given to the detection of microbial contaminants and harmful metabolotes, such as toxins and hormones, which have a great impact on both humans and animal health and feed. - Includes the most up-to-date information on nanoparticles based biosensors and quantum dots for biological detection - Provides application methods and techniques for research analysis for bacteriological detection and food testing - Presents studies using analytical tools to improve food safety and quality analysis