Modern Techniques For Agricultural Disease Management And Crop Yield Prediction
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Modern Techniques for Agricultural Disease Management and Crop Yield Prediction by Pradeep, N.,Kautish, Sandeep,Nirmala, C.R.,Goyal, Vishal,Abdellatif, Sonia Pdf
Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.
Plant Disease Management Strategies for Sustainable Agriculture through Traditional and Modern Approaches by Imran Ul Haq,Siddra Ijaz Pdf
This book provides an account of the classical and recent trends in plant sciences, which have contributed for disease management strategies in plants for sustainable agriculture. Advancements in the disciplines of biological sciences like biotechnology, microbiology, bioinformatics as well as information and communication technology etc has given the new dimensions for the development of new plant disease management strategies. By keeping this perspective in view, the editors collected and compiled the useful, practical and recent information regarding plant disease management from a diverse group of authors from different countries associated with well-reputed scientific, teaching and research organizations with the objective to update and equip the researchers with comprehensive and latest knowledge of plant disease management. This book is based on the knowledge of traditional and modern approaches for plant disease management. It has 15 chapters, each chapter describing the pillar strategies, which may be the possible way for crop protection from diseases.This effort deals with the history and recent trends in plant disease control, plant genetics and physiology in disease prognosis, conventional plant breeding program for disease resistance, synthetic chemicals: major component of plant disease management, biological antagonism: expected safe and sustainable way to manage plant diseases , soil microbes and plant health, conventional and modern technologies for the management of post-harvest diseases, nanobiotechnology, an innovative plant disease management approach, transgenic approaches in plants: strategic control for disease management, exploiting RNAi mechanism in plants for disease resistance, genome editing technologies for resistance against phytopathogens: principles, applications and future prospects, plant health clinics in Pakistan: operations and prospects, precision agriculture technologies for management of plant disease, quarantine and regulations and development and implementation of IDM program for annual and perennial crops.
New Generation of Organic Fertilizers by Metin Turan,Ertan Yildirim Pdf
This book provides a comprehensive overview of organic fertilizers and their importance in sustainable agriculture, biodiversity, and the environment. It presents new approaches, ideas, and trends on how to increase the effectiveness of chemical fertilizers as well as the resistance of plants against biotic and abiotic stress conditions. Chapters address such topics as the benefits of organic fertilizers over their chemical counterparts, vermicomposting, organic farming, insects in organic fertilizer production, and much more.
Handbook of Research on Agricultural Policy, Rural Development, and Entrepreneurship in Contemporary Economies by Jean Vasile, Andrei,Subic, Jonel,Grubor, Aleksander,Privitera, Donatella Pdf
Promoting rural entrepreneurship is a necessary step to limit the negative effects of classical agricultural policy based on a linear process and attracting secondary resources to the economic process. The analysis of agricultural policy and rural development in conjunction to entrepreneurship in terms of production may represent a further step in understanding the role and importance of diversifying the rural potentials in contemporary economies. The Handbook of Research on Agricultural Policy, Rural Development, and Entrepreneurship in Contemporary Economies is an essential publication of academic research that examines agricultural policy and its impact on shaping future resilient economy in rural areas and identifies green business models and new business patterns in rural communities. Covering a range of topics such as entrepreneurship, product management, and marketing, this book is ideal for researchers, policymakers, academicians, economists, agriculture professionals, rural developers, business investors, and students.
ICT Systems and Sustainability by Milan Tuba,Shyam Akashe,Amit Joshi Pdf
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks by Baranovskiy, Nikolay Viktorovich Pdf
To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.
Research Anthology on Strategies for Achieving Agricultural Sustainability by Management Association, Information Resources Pdf
Agriculture has been an enduring human tradition key to survival and civilization. However, after the advent of industrialization and agricultural growth, the industry has been met with several challenges including pollution, land use, and food insecurity. With the agricultural industry contributing to pollution and emissions, many have found it imperative to investigate the causes and seek out solutions. The Research Anthology on Strategies for Achieving Agricultural Sustainability discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. It analyzes the impact of agricultural pollution and food insecurity on a global scale, but also proposes solutions to promote agricultural sustainability. Covering topics such as bio-farming, smart farming, and population growth, this book is an indispensable resource for government officials, agricultural scientists, farmers, students and professors of higher education, activist groups, researchers, and academicians.
Intelligent Robotics and Applications by Chee Seng Chan,Hong Liu,Xiangyang Zhu,Chern Hong Lim,Xinjun Liu,Lianqing Liu,Kam Meng Goh Pdf
This book constitutes the proceedings of the 13th International Conference on Intelligent Robotics and Applications, ICIRA 2020, held in Kuala Lumpur, Malaysia, in November 2020. The 45 full papers and 3 short papers were carefully reviewed and selected from 66 submissions. The accepted papers were grouped into various subtopics including Advanced Measurement and Machine Vision System; Automation; Human-Robot Interaction; Mobile Robots and Intelligent Autonomous System; Recent Trends in Computational Intelligence; Robot Design, and Development and Control. Due to the Corona pandemic ICIRA 2020 was held as a virtual event.
Genetic and Evolutionary Computing by Shu-Chuan Chu,Jerry Chun-Wei Lin,Jianpo Li,Jeng-Shyang Pan Pdf
This book contains selected papers presented at ICGEC 2021, the 14th International Conference on Genetic and Evolutionary Computing, held from October 21-23, 2021 in Jilin City, China. The conference was technically co-sponsored by Springer, Northeast Electric Power University Fujian University of Technology, Shandong University of Science and Technology, and Western Norway University of Applied Sciences. It is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may learn the up-to-date techniques of the mentioned topics, including swarm intelligence, artificial intelligence, information hiding and data mining techniques, which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Handbook of Research on Resource Management for Pollution and Waste Treatment by Affam, Augustine Chioma,Ezechi, Ezerie Henry Pdf
It is necessary to understand the extent of pollution in the environment in terms of the air, water, and soil in order for both humans and animals to live healthier lives. Poor waste treatment or pollution monitoring can lead to massive environmental issues, such as diminishing valuable resources, and cause a significant negative impact on society. Solutions, such as reuse of waste and sustainable waste management, must be explored to prevent these adverse effects. The Handbook of Research on Resource Management for Pollution and Waste Treatment is a collection of innovative research that examines waste and pollution treatment methods that can be adopted at local and international levels and examines appropriate resource management strategies for environmentally related issues. Featuring coverage on a wide range of topics such as soil washing, bioremediation, and runoff handling, this book is ideally designed for environmentalists, engineers, waste management professionals, natural resource regulators, environmental policymakers, scientists, academicians, researchers, and students seeking current research on viable resource management methods for the regeneration of their immediate environment.
Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security by Erokhin, Vasilii,Gao, Tianming Pdf
Free trade promotes economic growth through international competition and the efficient allocation of resources while also helping to stabilize food supplies between countries that have an overabundance of product and countries that have a shortage. However, sudden price surges can threaten the social cohesion of developing countries and may lead to malnutrition and stunted growth. Balancing trade liberalization and protectionism is imperative for the provision of food security for all. The Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security is an essential publication that seeks to improve food security, food independence, and food sovereignty in the conditions of globalized agricultural trade and addresses the contemporary issues of agricultural trade including major commodities and food products traded between major countries, directions of trade, and trends. The book also examines the effects of tariff escalations, administrative restrictions, other forms of trade protectionism on food security, and the emerging trade tensions between major actors such as the US, China, the EU, and Russia. Featuring research on topics including plant fertility, dietary diversity, and protectionism, this book is ideally designed for government officials, policymakers, agribusiness managers, stakeholders, international tradesmen, researchers, industry professionals, academicians, and students.
Implementation and Evaluation of Green Materials in Technology Development: Emerging Research and Opportunities by Mastura, M.T.,Sapuan, S.M. Pdf
Due to legal and consumer demands, eco-friendly resources that comply with environmental concerns while maintaining or improving performance are highly sought amongst manufacturers. Green materials are a specific material that are widely found in many product markets and are popular choices as alternative materials due to their recyclable, reusable, highly available, and corrosion-resistant features. These materials positively impact the environment through fewer emissions during the production process, positive carbon credits and energy recovery from incineration, and lower global warming effect. Extensive research is required to understand the full potential of these eco-friendly substances. Implementation and Evaluation of Green Materials in Technology Development: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of environmentally friendly resources and applications within technology. Featuring coverage on a broad range of topics such as life cycle analysis, nanomaterials, and environment management, this book is ideally designed for manufacturers, engineers, product developers, industrial practitioners, policymakers, researchers, academicians, students, and business and marketing associates seeking current research on the advancements and applications of green materials in future technology.
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) by Sharvari Tamane,Suddhasheel Ghosh,Sonal Deshmukh Pdf
This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).
Handbook of Deep Learning in Biomedical Engineering by Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar Pdf
Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer’s, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography
Current State and Future Impacts of Climate Change on Biodiversity by Rathoure, Ashok Kumar,Chauhan, Pawan Bharati Pdf
Understanding the balance of society and nature is imperative when researching ecosystems and their global influence. A method of studying the health of these ecosystems is biodiversity. The more diverse the species that live in an ecosystem, the healthier it is. As the climate continues to transform, small-scale ecosystems are affected, altering their diversity. Environmentalists need a book of research that studies the specific impacts of climate change and how it affects the future of the environment. Current State and Future Impacts of Climate Change on Biodiversity is a pivotal reference source that provides vital research on biological systems and how climate change influences their health. While highlighting topics such as genetic diversity, economic valuation, and climatic conditions, this publication explores the effects of climate change as well as the methods of sustainable management within ecosystems. This book is ideally designed for environmental scientists, environmental professionals, scientists, ecologists, conservationists, government officials, policymakers, agriculturalists, environmentalists, zoologists, botanists, entomologists, urban planners, researchers, scholars, and students seeking research on current and future developments of various ecosystems.