Deep Learning For Sustainable Agriculture

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Deep Learning for Sustainable Agriculture

Ramesh Chandra Poonia,Vijander Singh,Soumya Ranjan Nayak
Deep Learning for Sustainable Agriculture Book PDF

Author : Ramesh Chandra Poonia,Vijander Singh,Soumya Ranjan Nayak
Publisher : Academic Press
Page : 408 pages
File Size : 54,7 Mb
Release : 2022-01-09
Category : Computers
ISBN : 9780323903622

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Deep Learning for Sustainable Agriculture by Ramesh Chandra Poonia,Vijander Singh,Soumya Ranjan Nayak Pdf

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

Machine Learning and Deep Learning for Smart Agriculture and Applications

Hashmi, Mohamamd Farukh,Kesakr, Avinash G.
Machine Learning and Deep Learning for Smart Agriculture and Applications Book PDF

Author : Hashmi, Mohamamd Farukh,Kesakr, Avinash G.
Publisher : IGI Global
Page : 276 pages
File Size : 40,7 Mb
Release : 2023-08-29
Category : Technology & Engineering
ISBN : 9781668499764

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Machine Learning and Deep Learning for Smart Agriculture and Applications by Hashmi, Mohamamd Farukh,Kesakr, Avinash G. Pdf

Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.

Machine Learning for Sustainable Development

Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban
Machine Learning for Sustainable Development Book PDF

Author : Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban
Publisher : Walter de Gruyter GmbH & Co KG
Page : 214 pages
File Size : 40,7 Mb
Release : 2021-07-19
Category : Computers
ISBN : 9783110702514

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Machine Learning for Sustainable Development by Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban Pdf

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

Smart Agricultural Services Using Deep Learning, Big Data, and IoT

Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish
Smart Agricultural Services Using Deep Learning Big Data and IoT Book PDF

Author : Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish
Publisher : IGI Global
Page : 280 pages
File Size : 46,5 Mb
Release : 2020-10-30
Category : Technology & Engineering
ISBN : 9781799850045

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Smart Agricultural Services Using Deep Learning, Big Data, and IoT by Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish Pdf

The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.

AI in Agriculture for Sustainable and Economic Management

Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro
AI in Agriculture for Sustainable and Economic Management Book PDF

Author : Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro
Publisher : CRC Press
Page : 251 pages
File Size : 48,6 Mb
Release : 2024-08-01
Category : Computers
ISBN : 9781040098103

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AI in Agriculture for Sustainable and Economic Management by Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro Pdf

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.

Artificial Intelligence and Smart Agriculture Technology

Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Artificial Intelligence and Smart Agriculture Technology Book PDF

Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Publisher : CRC Press
Page : 291 pages
File Size : 42,5 Mb
Release : 2022-06-27
Category : Computers
ISBN : 9781000604375

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Artificial Intelligence and Smart Agriculture Technology by Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati Pdf

This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

Agriculture 5.0

Latief Ahmad,Firasath Nabi
Agriculture 5 0 Book PDF

Author : Latief Ahmad,Firasath Nabi
Publisher : CRC Press
Page : 214 pages
File Size : 54,5 Mb
Release : 2021-03-24
Category : Technology & Engineering
ISBN : 9781000364439

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Agriculture 5.0 by Latief Ahmad,Firasath Nabi Pdf

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.

Artificial Intelligence in Agriculture

Rajesh Singh,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh
Artificial Intelligence in Agriculture Book PDF

Author : Rajesh Singh,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh
Publisher : CRC Press
Page : 234 pages
File Size : 49,5 Mb
Release : 2021-11-30
Category : Technology & Engineering
ISBN : 9781000506235

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Artificial Intelligence in Agriculture by Rajesh Singh,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh Pdf

This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.

Precision Agriculture for Sustainability

Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee
Precision Agriculture for Sustainability Book PDF

Author : Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee
Publisher : CRC Press
Page : 506 pages
File Size : 46,5 Mb
Release : 2024-02-13
Category : Technology & Engineering
ISBN : 9781000955538

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Precision Agriculture for Sustainability by Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee Pdf

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

Smart Agriculture

Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Smart Agriculture Book PDF

Author : Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Publisher : CRC Press
Page : 222 pages
File Size : 50,7 Mb
Release : 2021-02-10
Category : Technology & Engineering
ISBN : 9781000327878

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Smart Agriculture by Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh Pdf

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

Data-Driven Farming

Syed Nisar Hussain Bukhari
Data Driven Farming Book PDF

Author : Syed Nisar Hussain Bukhari
Publisher : CRC Press
Page : 301 pages
File Size : 45,9 Mb
Release : 2024-06-13
Category : Computers
ISBN : 9781040037232

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Data-Driven Farming by Syed Nisar Hussain Bukhari Pdf

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.

Spore 195: Smart farming - Transforming Agriculture with Artificial Intelligence

CTA
Spore 195 Smart farming Transforming Agriculture with Artificial Intelligence Book PDF

Author : CTA
Publisher : CTA
Page : 48 pages
File Size : 54,8 Mb
Release : 2019-12-01
Category : Business & Economics
ISBN : 8210379456XXX

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Spore 195: Smart farming - Transforming Agriculture with Artificial Intelligence by CTA Pdf

Transforming Agriculture with Artificial Intelligence. At a time where the world needs to produce more with fewer resources, artificial intelligence (AI) could help to transform agriculture worldwide. SPORE is the quarterly magazine of the Technical Centre for Agricultural and Rural Cooperation (CTA), offering a global perspective on agribusiness and sustainable agriculture. CTA operates under the Cotonou Agreement between the countries of the Africa, Caribbean and Pacific (ACP) group and the European Union and is financed by the EU.

IoT and AI in Agriculture

Tofael Ahamed
IoT and AI in Agriculture Book PDF

Author : Tofael Ahamed
Publisher : Springer Nature
Page : 469 pages
File Size : 42,6 Mb
Release : 2023-04-10
Category : Technology & Engineering
ISBN : 9789811981135

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IoT and AI in Agriculture by Tofael Ahamed Pdf

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.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Tomar, Pradeep,Kaur, Gurjit
Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture Book PDF

Author : Tomar, Pradeep,Kaur, Gurjit
Publisher : IGI Global
Page : 400 pages
File Size : 51,8 Mb
Release : 2021-01-08
Category : Technology & Engineering
ISBN : 9781799817246

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Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture by Tomar, Pradeep,Kaur, Gurjit Pdf

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Internet of Things and Machine Learning in Agriculture

Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Internet of Things and Machine Learning in Agriculture Book PDF

Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 424 pages
File Size : 45,5 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110691276

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Internet of Things and Machine Learning in Agriculture by Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain Pdf

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.