Kuldeep Chaurasia – författare
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7 produkter
7 produkter
Häftad, Engelska, 2025
1 765 kr
Skickas inom 10-15 vardagar
Agricultural Insights from Space offers a comprehensive exploration of how geospatial technology and machine learning are transforming modern agriculture. From satellite data acquisition and soil mapping to crop classification, yield prediction, and irrigation optimization, this volume presents cutting-edge methods for advancing precision and sustainable farming.Key chapters highlight the integration of spatial data with AI to monitor crop health, track pest and disease outbreaks, manage livestock, and map agroforestry systems. The use of climate data and deep learning models illustrates how these innovations strengthen resilience and support informed decision-making in the face of environmental challenges.Through detailed methodologies and real-world case studies, including applications of Lagrange polynomials, deep learning ensembles, and synthetic data generation, the book showcases practical solutions that bridge research and implementation.Whether applied in academic research, fieldwork, or technology development, Agricultural Insights from Space offers a multidisciplinary foundation for tackling complex agricultural challenges. It empowers readers to harness emerging technologies not just to improve efficiency, but to reshape agricultural systems for long-term sustainability and impact.Critically examines real-world constraints and considerations in deploying AI-driven agricultural technologies, helping readers anticipate implementation challenges and develop more resilient, context-aware solutions.Delivers a nuanced analysis of both opportunities and trade-offs, enabling readers to make informed decisions about adopting geospatial and AI tools in diverse agricultural settings.Considers ethical, social, and environmental dimensions of geo-AI development, equipping readers to design and advocate for responsible innovations that promote equity and long-term sustainability in food systems.
E-bok
Engelska, 20252 314 kr
Läs direkt efter köp
Agricultural Insights from Space offers a comprehensive exploration of how geospatial technology and machine learning are transforming modern agriculture. From satellite data acquisition and soil mapping to crop classification, yield prediction, and irrigation optimization, this volume presents cutting-edge methods for advancing precision and sustainable farming.Key chapters highlight the integration of spatial data with AI to monitor crop health, track pest and disease outbreaks, manage livestock, and map agroforestry systems. The use of climate data and deep learning models illustrates how these innovations strengthen resilience and support informed decision-making in the face of environmental challenges.Through detailed methodologies and real-world case studies, including applications of Lagrange polynomials, deep learning ensembles, and synthetic data generation, the book showcases practical solutions that bridge research and implementation.Whether applied in academic research, fieldwork, or technology development, Agricultural Insights from Space offers a multidisciplinary foundation for tackling complex agricultural challenges. It empowers readers to harness emerging technologies not just to improve efficiency, but to reshape agricultural systems for long-term sustainability and impact. - Critically examines real-world constraints and considerations in deploying AI-driven agricultural technologies, helping readers anticipate implementation challenges and develop more resilient, context-aware solutions. - Delivers a nuanced analysis of both opportunities and trade-offs, enabling readers to make informed decisions about adopting geospatial and AI tools in diverse agricultural settings. - Considers ethical, social, and environmental dimensions of geo-AI development, equipping readers to design and advocate for responsible innovations that promote equity and long-term sustainability in food systems.
Inbunden, Engelska, 2024
2 056 kr
Skickas inom 10-15 vardagar
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
- Nyhet
Häftad, Engelska, 2026
793 kr
Skickas inom 10-15 vardagar
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
E-bok
PDF, Engelska, 2024942 kr
Läs direkt efter köp
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology''s revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
E-bok
Engelska, 2024942 kr
Läs direkt efter köp
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology''s revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
Inbunden, Engelska, 2027
1 488 kr
Kommande
Apply AI and geospatial analytics to predict and manage geohazards Predicting and responding to floods, landslides, earthquakes, droughts, and wildfires demands more than traditional geospatial methods. Geohazards: AI and Machine Learning in Geospatial Technologies integrates machine learning, deep learning, remote sensing, and GIS into a unified framework for geohazard assessment and disaster response. Edited by a team of geospatial researchers, the book connects data-driven theory with applied disaster resilience strategies. Coverage spans GIS, remote sensing, and GNSS fundamentals through advanced AI-driven risk management, including real-time resource allocation and emergency routing logistics. The book addresses UAV and geospatial applications for data acquisition, search and rescue, and geohazard response. Ethical considerations in deploying AI within geospatial contexts receive dedicated treatment, alongside identification of emerging trends and open research directions. Readers will also find: Real-world case studies demonstrating applied AI and geospatial techniques for specific geohazard scenarios across varied geographic contextsAutomated geospatial analytics workflows that strengthen disaster preparedness through data-driven prediction and continuous environmental monitoring at scaleDeep learning architectures applied to satellite image processing, and LiDAR-based terrain analysis for hazard mappingMethods for integrating synthetic aperture radar and interferometric SAR data into slope stability and subsidence assessmentsFrameworks connecting big data pipelines with geospatial platforms to support policymakers and disaster management agencies in decision-makingDesigned for graduate students, researchers, and professionals in geospatial science, AI, and disaster management, this book provides the technical depth needed to implement machine learning and remote sensing solutions for geohazard prediction. GIS analysts, emergency planners, and policymakers will find actionable frameworks for strengthening disaster resilience.