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دانلود کتاب Smart Agriculture for Developing Nations: Status, Perspectives and Challenges
دانلود کتاب کشاورزی هوشمند برای کشورهای در حال توسعه: وضعیت، چشم اندازها و چالش ها
مشخصات کتاب
Smart Agriculture for Developing Nations: Status, Perspectives and Challenges
ویرایش:
نویسندگان: Kandiah Pakeerathan
سری: Advanced Technologies and Societal Change
ISBN (شابک) : 9811987378, 9789811987373
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 263
[264]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 8 Mb
قیمت کتاب (تومان) : 55,000
در صورت تبدیل فایل کتاب Smart Agriculture for Developing Nations: Status, Perspectives and Challenges به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کشاورزی هوشمند برای کشورهای در حال توسعه: وضعیت، چشم اندازها و چالش ها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
توضیحاتی در مورد کتاب کشاورزی هوشمند برای کشورهای در حال توسعه: وضعیت، چشم اندازها و چالش ها
این کتاب در هجده فصل خود راه حل های پایدار و مبتنی بر فناوری هوشمند را برای کشورهای در حال توسعه ارائه می دهد. کشاورزی هوشمند به دلیل افزایش تقاضا برای عملکرد بیشتر محصول، نیاز به استفاده بهینه از منابع طبیعی، استفاده روزافزون و پیچیدگی فناوری اطلاعات و ارتباطات و نیاز روزافزون به کشاورزی هوشمند از نظر اقلیم از اهمیت بیشتری برخوردار است. برخی از این فصل ها به کاربردهای کشاورزی هوشمند برای رسیدگی به چالش های ویژه کشورهای در حال توسعه جزیره کوچک برای کشاورزی پایدار می پردازند. این کتاب جوامع علمی از هند، اندونزی، عراق، مالزی، موریس، میانمار، فلسطین، سریلانکا و آفریقای جنوبی را گرد هم می‌آورد تا تخصص خود را برای ایجاد ارتباط بیشتر و هوشمندتر کردن سیستم کشاورزی به اشتراک بگذارند. تکنیک های کشاورزی هوشمند به اشتراک گذاشته شده در فصل های مختلف نه تنها به کاهش هزینه کلی و بهبود کیفیت و کمیت محصولات کمک می کند، بلکه به طور کلی به بهبود پایداری کشاورزی در کشورهای در حال توسعه کمک می کند. «کشاورزی هوشمند» یک مفهوم مدیریتی است که بر فراهم کردن زیرساخت‌های صنعت کشاورزی برای استفاده از فناوری‌های پیشرفته - از جمله هوش مصنوعی (AI)، داده‌های بزرگ، روباتیک، هواپیماهای بدون سرنشین و اینترنت اشیا (IoT) - برای ردیابی، نظارت، خودکارسازی و تجزیه و تحلیل عملیات کشاورزی هوشمند که گاهی به عنوان کشاورزی دقیق شناخته می‌شود، نرم‌افزاری مدیریت می‌شود و حسگر نظارت می‌شود.
توضیحاتی درمورد کتاب به خارجی
This book in its eighteen chapters provides sustainable and smart technology-based solutions to developing nations. Smart farming is growing in importance due to the increasing demand for higher crop yield, the need for using natural resources efficiently, the rising use and sophistication of information and communication technology and the increasing need for climate-smart agriculture. Some of these chapters deal with the applications of smart agriculture to address the special challenges of the Small Island Developing States for sustainable agriculture. The book brings together scientific communities from India, Indonesia, Iraq, Malaysia, Mauritius, Myanmar, Palestine, Sri Lanka and South Africa to share their expertise to make the farming system more connected and intelligent. The smart farming techniques shared in different chapters not only help to reduce the overall cost and improve the quality and quantity of products but altogether help improve the sustainability of agriculture in the developing world. ‘Smart Farming’ is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technologies—including artificial intelligence (AI), big data, robotics, drones and Internet of Things (IoT)—for tracking, monitoring, automating and analyzing operations. Sometimes known as precision agriculture, smart farming is software managed and sensor monitored.
فهرست مطالب
Foreword by Leela Devi Dookun-Luchoomun Preface Introduction by Amitava Bandopadhyay Contents 1 Smart Agricultural Mechanization in India—Status and Way Forward Introduction Technologies for Smart Agriculture Artificial Intelligence (AI) in Agriculture Unmanned Aerial Vehicle (UAV) Modern Horticulture Farming Techniques Operational Issues and Challenges Future Strategies for Smart Agricultural Mechanization Conclusions References 2 Applications of Geospatial and Big Data Technologies in Smart Farming Introduction Geospatial Technologies and Their Components Remote Sensing Geographic Information System (GIS) Global Positioning System (GPS) Big Data and Its Components Applications of Geospatial and Big Data Technologies in Smart Farming Weather Monitoring Terrain Analysis and Landforms Mapping Digital Soil Mapping Soil Moisture Monitoring Automated Irrigation Systems Crop Identification and Monitoring Yield Monitoring and Mapping Pest Monitoring and Surveillance Variable-Rate Technology (VRT) Geospatial and Big Data Technologies in Smart Farming—Challenges Geospatial and Big Data Technologies in Smart Farming—Opportunities A Way Forward Conclusions References 3 Applications of Drones in Smart Agriculture Introduction Definition and Types Drone Hardware Optical Sensors for UAV Applications of Drones in Agriculture and Allied Sectors Conclusions References 4 Achieving Agriculture 4.0 Through Modernization and Enhancement with Mechanization, Automation and Advanced Technologies Introduction Mechanization in Agricultural Production Adoption Industry 4.0 Technologies in Agricultural Production Conclusion References 5 Improved Efficiency of Smart Agriculture By Using Cost-Effective IoT Design Introduction Related Work Proposed System Devices Used Implementation of Proposed System Experimental Results Conclusion References 6 Smart Greenhouse Development: A Case Study in West Java, Indonesia Introduction Horticulture Productions in West Java Smart Greenhouse Technology Developments in West Java Opportunities and Challenges Conclusions References 7 Maucrop: An AI-Driven Interactive Mobile Application to Advice on Crop Selection and Cultivation for Small-Scale Crop Farmers in Mauritius Introduction Research Aims Background Study and Related Works Impacts of Climate Change on Agriculture in Mauritius The Need for Effective Crop Selection and Production Strategies Factors Influencing Crop Selection and Cultivation Methods Used for Crop Selection by Small Planters in Mauritius Mobile Applications as a Tool for Smart Agriculture Design and Implementation of “MauCrop” Mobile Application “MauCrop” Mobile Application Functional and Non-functional Requirements for the Mobile App MauCrop App Data Model MauCrop App Use Case System Context Diagram MauCrop App Platform Conclusions References 8 Affordable ICT Solutions for Water Conservation Using Sensor-Based Irrigation Systems for Use in Arid Agriculture in Thar Desert Region of India Introduction Related Work Test Bed Design and Setup Design of the Experiment Micro-irrigation System Setup Implementation System Components System Description Results and Discussion Conclusion References 9 Adoption of Climate Smart Agriculture (CSA) Technologies in Sri Lanka: Scope, Present Status, Problems, Prospects, Policy Issues, and Strategies Introduction Agriculture Sector in Sri Lankan Context Challenges in Agriculture Industry Overview of Climate Change and Climate Smart Agriculture Technologies Adaptation Behavior of CSA Technologies An Overview of Adoption Behavior of CSA Technologies in Sri Lankan Context Factors Influence on Adoption Behavior of CSA Technologies Scope and Status of CSA Technologies in Sri Lanka Problems and Prospects in Adoption of CSA Technologies Policy Issues and Strategies for Adoption of CSA Technologies in Sri Lanka Conclusion Recommendation References 10 Image Processing: A Smart Technology for Early Detection of Crop Pests and Diseases Introduction Traditional Means of Pest and Disease Detection Image Processing an Emerging Technology for Pest and Disease Detection Application of Image Processing in Smart Agriculture Conclusions and Future Prospects References 11 Development of a Smart Sprayer for Smallholder Farmers in Conservation Agriculture Introduction Materials and Methods Concept Design Function Design and Major Components Prototype Construction Selection of Weed-Detecting Sensors Practical Tests Results and Discussion Conclusions References 12 Ecological Significance of Seaweed Biomass Production and Its Role in Sustainable Agriculture Introduction Ecological Significance of Seaweeds Carbon Sequestration Biosorption Bioremediation Biological Indicators Animal Feed Food Role in Sustainable Agriculture Soil Amendment by Seaweed Seaweeds as a Source of Biostimulants Conclusion References 13 Biofertilizer Technologies for Better Crop Nutrient—A Sustainable Smart Agriculture Introduction Biofertilizer Isolation, Screening, and Identification of Microbiome Selection of Artificial Microbial Community Plant Probiotics and Customized Inoculant Biofilm Biofertilizers Methods of Biofertilizer Applications Case Study Biofertilizer Formulation and Applications: New Technologies Nanobiofertilizer Biofertilizer and Biosafety Terrace Gardening Aeroponics Conclusion References 14 Plant Tissue Culture Technique and Smart Agriculture Introduction Smart Agriculture at the Arab Level Plant Tissue Culture The Challenge Concept of Project Idea The Protocol References 15 Investigation of Benzene Residue Removal from Agricultural Soil After Gamma Irradiation Treatment Using GCMS and FTIR Method Introduction Materials and Methods Sample Collection and Investigation Gamma Irradiation Treatment Investigations by GCMS and FTIR Method Results and Discussion Conclusion References 16 Removal of Nitrates from Drinking Water Using Chia Seeds in Gaza Strip, Palestine Introduction Materials and Methods Chia Seeds Biosorbent Preparation Preparation of Nitrate Solutions (Adsorbate). Preparation of Acetate and Citric Solutions for pH Control Nitrate Removal Experiments by Chia Seeds Biosorbent by Batch Method Factors Affecting Absorption Processes Optimization Conditions Applying the Chia Seeds Biosorbent for Nitrates Removal from Groundwater Recovery of Chia Seeds Detection of NO2−, –N (Nitrogen, Nitrite) Result and Discussion Effect of pH on % Nitrate Removal by Chia Seeds Char Effect of Chia Seeds Char Dose on % Removal of Nitrate Comparison Between Chia Char with Citric 0.2 M and Acetic Acid 0.2 M for Nitrate Removal from Synthetic Water 100 mg/l Nitrate (days) Effect of Particle Size of Chia Char on % of Nitrate Removal Chia Char Recovery The Effects of Nitrate Initial Concentration on Chia Char Removal Efficiency for Nitrate Optimum Conditions of Chia Char for the % Removal Efficiency of Nitrate Effect of Contact Time and Initial Nitrate Concentration on Percentage Nitrate Removal by Chia Seeds Biosorbent Conclusion Recommendations References 17 Smart Agriculture Research and Development for Small Island Developing States Introduction SIDS Agricultural Challenges Climate Change and Natural Disasters Food Insecurity and Land Use Smart Agricultural Research and Innovation for SIDS Emerging Agricultural Technologies Internet of Things Artificial Intelligence Case of the University of Mauritius Agri-digital Skills AgriTECH Park Multidisciplinary Research Conclusion References 18 Smart Agriculture: Special Challenges and Strategies for Island States Introduction Advantages of Smart Agriculture Challenges of Smart Agriculture: Special Reference to Island States Mindset and Cultural Barriers Lack of Awareness on Smart Agriculture Scientific and Technical Knowledge of the Farmers Cost Availability of Experts Data Availability, Reliability, and Insecurity Big Data Storage and Network Connectivity Agricultural Policy Strategies to Strengthen the Smart Agriculture Conclusion References
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