Agro-geoinformatics
Agro-geoinformatics

Author: Liping Di

Publisher: Springer Nature

Published: 2021-04-12

Total Pages: 418

ISBN-13: 3030663876

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This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.

Digital Ecosystem for Innovation in Agriculture
Digital Ecosystem for Innovation in Agriculture

Author: Sanjay Chaudhary

Publisher: Springer Nature

Published: 2023-05-19

Total Pages: 280

ISBN-13: 981990577X

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This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.

Knowledge Management and Digital Transformation Power
Knowledge Management and Digital Transformation Power

Author: Orhan TORKUL

Publisher: Efe Akademi Yayınları

Published: 2022-11-25

Total Pages: 268

ISBN-13: 6256995171

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İÇİNDEKİLER ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN DISTANCE EDUCATION (2012-2021): A SYSTEMATIC REVIEW MEHMET BARIŞ HORZUM - DENİZ DEMİRCİOĞLU DİREN THE ROLE OF CUSTOMER KNOWLEDGE IN DIGITAL TRANSFORMATION: CUSTOMER KNOWLEDGE MANAGEMENT AS A COMPETITIVE ADVANTAGE THROUGH SOCIAL MEDIA PLATFORMS LEVENT ÇALLI MACHINE LEARNING AS A TOOL FOR ACHIEVING DIGITAL TRANSFORMATION MERVE ŞİŞCİ - YUNUS EMRE TORKUL - İHSAN HAKAN SELVİ BLOCKCHAIN-BASED ENERGY MANAGEMENT FOR SUPPLY CHAIN MANAGEMENT ERAY AÇIKGÖZ - BERRİN DENİZHAN A STUDY ON DEEP LEARNING BASED APPLICATIONS USED IN AGRICULTURE IN TURKIYE GÜNAY TEMÜR BLOCKCHAIN AND INFORMATION SHARING FATİH ÇALLI INDUSTRY 4.0, SMART FACTORIES AND EFFECTS ON BUSINESS TİJEN ÖVER ÖZÇELİK - İHSAN HAKAN SELVİ - AYTEN YILMAZ YALÇINER - MUHAMMED TAHA ZEREN ANALYSIS OF THE PARAMETERS THAT AFFECT THE MOISTURE CONTENT OF THE PUMPKIN BY DATA MINING FEYZA GÜRBÜZ OPPORTUNITIES AND CHALLENGES OF DIGITAL TRANSFORMATION IN SMEs-THE ROLE OF DYNAMIC CAPABILITIES AS A CATALYST BÜŞRA ALMA ÇALLI A CUSTOMER-CENTRIC ANALYTICS FRAMEWORK AND INSIGHTS OF DIGITAL TRANSFORMATION ÖMER FARUK SEYMEN THE FUTURE OF MONEY AS A FINANCIAL INVESTMENT TOOL: CENTRAL BANK DIGITAL CURRENCY İNCİ MERVE ALTAN

Precision Agriculture
Precision Agriculture

Author: Qamar Zaman

Publisher: Elsevier

Published: 2023-05-18

Total Pages: 292

ISBN-13: 0443189544

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Precision Agriculture: Evolution, Insights and Emerging Trends presents a complete guide from foundational concepts to the economic, commercial and environmental implications of the approach. Showcasing recent research improvements, future trends, and highlighting innovative use of machine vision, artificial intelligence, UAVs, drones, IoT and data analytics to promote sustainable agriculture, the book brings the reader up-to-date with understanding and implementing this targeted practice. From the basic elements of agronomy to insights on reflectance and remote sensing indices, chapters use summary abstracts, case studies and real-world examples of implementing the tools of precision agriculture (PA) to demonstrate the latest advances. It includes explanations on the origin of the intra-plot variability of a culture (spatial and temporal), different types of existing sensors, controllers and site-specific management. The book further explores yield monitoring, weed, disease and pest control, automated irrigation systems, PA tools for variable rate application of inputs within the field, and data processing methods. By also exploring the economic profitability of precision farming approaches, and its utility for sustainable agriculture, Precision Agriculture: Evolution, Insights and Emerging Trends is a truly comprehensive view of this important approach to improving global agriculture production. Scientists, researchers, policymakers, graduate and postgraduate students, and engineers in the related fields of agriculture, computer science and engineering will benefit from this book. - Addresses soil, machinery, plants, irrigation, sensors, UAVs and more - Explores current and future technologies in the field of Precision Agriculture - Details comprehensive cost-benefit analysis for governments and other policymakers to incentivize and promote precision agriculture technology

AI in Agriculture for Sustainable and Economic Management
AI in Agriculture for Sustainable and Economic Management

Author: Sirisha Potluri

Publisher: CRC Press

Published: 2024-08-01

Total Pages: 215

ISBN-13: 1040098126

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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.

Mathematical Modeling in Agriculture
Mathematical Modeling in Agriculture

Author: Sabyasachi Pramanik

Publisher: John Wiley & Sons

Published: 2024-10-16

Total Pages: 376

ISBN-13: 1394233701

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The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable. The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

Robotics and Mechatronics for Agriculture
Robotics and Mechatronics for Agriculture

Author: Dan Zhang

Publisher: CRC Press

Published: 2017-11-23

Total Pages: 214

ISBN-13: 1351788612

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The aim of the book is to introduce the state-of-the-art technologies in the field of robotics, mechatronics and automation in agriculture in order to summarize and review the improvements in the methodologies in agricultural robotics. Advances made in the past decades are described, including robotics for agriculture, mechatronics for agriculture, kinematics, dynamics and control analysis of agricultural robotics, and a wide range of topics in the field of robotics, mechatronics and automation for agricultural applications.

Agricultural Biotechnology
Agricultural Biotechnology

Author: Charles Oluwaseun Adetunji

Publisher: CRC Press

Published: 2022-12-21

Total Pages: 618

ISBN-13: 1000779750

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This book presents strategies and techniques highlighting the sustainability and application of microbial and agricultural biotechnologies to ensure food production and security. This book includes different aspects of applications of Artificial Intelligence in agricultural systems, genetic engineering, human health and climate change, recombinant DNA technology, metabolic engineering and so forth. Post-harvest extension of food commodities, environmental detoxification, proteomics, metabolomics, genomics, bioinformatics and metagenomic analysis are discussed as well. Features: Reviews technological advances in microbial biotechnology for sustainable agriculture using Artificial Intelligence and molecular biology approach. Provides information on the fusion between microbial biotechnology and agriculture. Specifies the influence of climate changes on livestock, agriculture and environment. Discusses sustainable agriculture for food security and poverty alleviation. Explores current biotechnology advances in food and agriculture sectors for sustainable crop production. This book is aimed at researchers and graduate students in agriculture, food engineering, metabolic engineering and bioengineering.

Computer Vision and Machine Learning in Agriculture
Computer Vision and Machine Learning in Agriculture

Author: Mohammad Shorif Uddin

Publisher: Springer Nature

Published: 2021-03-23

Total Pages: 172

ISBN-13: 9813364246

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This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition.