Spotlight On Artificial Intelligence Ai For Sustainable Plant Production PDF Download
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| Author | : Aitazaz Ahsan Farooque |
| Publisher | : Frontiers Media SA |
| Total Pages | : 172 |
| Release | : 2024-03-15 |
| Genre | : Science |
| ISBN | : 283254407X |
Download Spotlight on Artificial Intelligence (AI) for Sustainable Plant Production Book in PDF, ePub and Kindle
The Agricultural industry is always at risk - crops are affected by weather, diseases and pests. When a global pandemic hits suddenly, it becomes very difficult to manage various processes because most are not digital. In parallel, the rapid increase in the population and urbanization, demands more food production on less land. Farming under the demand pressure by increasing input consumption, leads to increases costs and negative impacts to the environment such as decreasing soil fertility continuously over time. There is therefore the need to move beyond traditional farming. To produce more yield in the agricultural field, there is the need to dig deep into the technological field and apply sensors, Internet of Things (IoT), big data analytics, cloud computing and machine learning (ML) and deep learning (DL) techniques. Better decision making, prediction and reliability depend upon high level of knowledge base and perceptions.
| Author | : Sirisha Potluri |
| Publisher | : CRC Press |
| Total Pages | : 251 |
| Release | : 2024-08-01 |
| Genre | : Computers |
| ISBN | : 104009810X |
Download AI in Agriculture for Sustainable and Economic Management Book in PDF, ePub and Kindle
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 | : Tofael Ahamed |
| Publisher | : Springer Nature |
| Total Pages | : 469 |
| Release | : 2023-04-10 |
| Genre | : Technology & Engineering |
| ISBN | : 9811981132 |
Download IoT and AI in Agriculture Book in PDF, ePub and Kindle
This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.
| Author | : Ramesh Chandra Poonia |
| Publisher | : Academic Press |
| Total Pages | : 408 |
| Release | : 2022-01-09 |
| Genre | : Computers |
| ISBN | : 0323903622 |
Download Deep Learning for Sustainable Agriculture Book in PDF, ePub and Kindle
The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain
| Author | : Alexander J. Udink ten Cate |
| Publisher | : Pergamon |
| Total Pages | : 366 |
| Release | : 1995 |
| Genre | : Agriculture |
| ISBN | : |
Download Artificial Intelligence in Agriculture Book in PDF, ePub and Kindle
Paperback. The second IFAC/IFIP/Eur Ag Eng workshop on AI in agriculture provided a forum for the presentation of new research, development and applications of AI in agriculture. The workshop brought together leading researchers and practitioners (both academic and industrial) and enabled them to discuss and evaluate new and exciting bridges between AI and its applications in agriculture and domains connected to it (in particular, environmental sciences). This publication contains the papers, covering a wide range of topics, presented at the workshop.
| Author | : Richard Owen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 361 |
| Release | : 2013-03-21 |
| Genre | : Business & Economics |
| ISBN | : 1118551400 |
Download Responsible Innovation Book in PDF, ePub and Kindle
Science and innovation have the power to transform our lives and the world we live in - for better or worse – in ways that often transcend borders and generations: from the innovation of complex financial products that played such an important role in the recent financial crisis to current proposals to intentionally engineer our Earth’s climate. The promise of science and innovation brings with it ethical dilemmas and impacts which are often uncertain and unpredictable: it is often only once these have emerged that we feel able to control them. How do we undertake science and innovation responsibly under such conditions, towards not only socially acceptable, but socially desirable goals and in a way that is democratic, equitable and sustainable? Responsible innovation challenges us all to think about our responsibilities for the future, as scientists, innovators and citizens, and to act upon these. This book begins with a description of the current landscape of innovation and in subsequent chapters offers perspectives on the emerging concept of responsible innovation and its historical foundations, including key elements of a responsible innovation approach and examples of practical implementation. Written in a constructive and accessible way, Responsible Innovation includes chapters on: Innovation and its management in the 21st century A vision and framework for responsible innovation Concepts of future-oriented responsibility as an underpinning philosophy Values – sensitive design Key themes of anticipation, reflection, deliberation and responsiveness Multi – level governance and regulation Perspectives on responsible innovation in finance, ICT, geoengineering and nanotechnology Essentially multidisciplinary in nature, this landmark text combines research from the fields of science and technology studies, philosophy, innovation governance, business studies and beyond to address the question, “How do we ensure the responsible emergence of science and innovation in society?”
| Author | : International Centre for Engineering Education |
| Publisher | : UNESCO Publishing |
| Total Pages | : 183 |
| Release | : 2021-03-02 |
| Genre | : Political Science |
| ISBN | : 9231004379 |
Download Engineering for Sustainable Development Book in PDF, ePub and Kindle
The report highlights the crucial role of engineering in achieving each of the 17 SDGs. It shows how equal opportunities for all is key to ensuring an inclusive and gender balanced profession that can better respond to the shortage of engineers for implementing the SDGs. It provides a snapshot of the engineering innovations that are shaping our world, especially emerging technologies such as big data and AI, which are crucial for addressing the pressing challenges facing humankind and the planet. It analyses the transformation of engineering education and capacity-building at the dawn of the Fourth Industrial Revolution that will enable engineers to tackle the challenges ahead. It highlights the global effort needed to address the specific regional disparities, while summarizing the trends of engineering across the different regions of the world.
| Author | : Mercedes Del Río Celestino |
| Publisher | : MDPI |
| Total Pages | : 216 |
| Release | : 2020-05-27 |
| Genre | : Science |
| ISBN | : 3039288296 |
Download The Health Benefits of Fruits and Vegetables Book in PDF, ePub and Kindle
This Special Issue gathers 14 original research papers to disseminate new data on phytochemicals from vegetables and fruits, which are recommended for their health-promoting properties. Epidemiological, toxicological and nutritional studies suggest an association between fruit and vegetable consumption and lower incidence of chronic diseases, such as coronary heart problems, cancer, diabetes, and Alzheimer’s disease. In this Special Issue the following topics have been addressed: (i) the protective roles, antioxidant and others bioactivities such as genotoxic and antigenotoxic effects in the Drosophila melanogaster animal genetic model and pro-apoptotic capacities against cancer processes, including cytotoxicity and clastogenic DNA activity, using an in vitro human cancer model (HL-60 cell line, (ii), new sustainable approaches based on near-infrared spectroscopy to determine the quality, (iii) broad-scale metabolomic investigation for the development of functional food and, (iv) processing techniques that can modify the initial nutritional and antioxidant content of fruits, vegetables, and additives. In summary, the information in this Special Issue will be interesting for researchers in this field and the general public interested in the relationship between vegetables and health.
| Author | : Helen Sykes |
| Publisher | : |
| Total Pages | : |
| Release | : 2019-11 |
| Genre | : |
| ISBN | : 9780994404473 |
Download Artificial Intelligence for Better Or Worse Book in PDF, ePub and Kindle
| Author | : Andreas Sudmann |
| Publisher | : transcript Verlag |
| Total Pages | : 335 |
| Release | : 2019-10-31 |
| Genre | : Social Science |
| ISBN | : 3839447194 |
Download The Democratization of Artificial Intelligence Book in PDF, ePub and Kindle
After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
