Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation

Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation is a comprehensive book that showcases the latest applications of remote sensing in agriculture, including crop sown area estimation, crop health status, vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, and drone image analysis for crop damage assessment.

Format: Paperback / softback
Length: 554 pages
Publication date: 27 October 2023
Publisher: Elsevier Science & Technology

Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation is a comprehensive compilation of the latest applications of remote sensing in agriculture, leveraging spaceborne, airborne, and drone geospatial data. The book presents a wealth of case studies, innovative algorithms, and cutting-edge methods for estimating crop sown areas, determining crop health status, assessing vegetation dynamics, identifying crop diseases, estimating crop yields, evaluating soil properties, and utilizing drone image analysis for crop damage assessment. This invaluable resource is designed to guide practitioners and enthusiasts alike in exploring and effectively implementing remote sensing in precision agriculture, offering a comprehensive and scientifically sound foundation for their endeavors.

The utilization of remote sensing in precision agriculture has witnessed a remarkable transformation, leveraging spaceborne, airborne, and drone geospatial data to drive scientific advancement and innovation. In Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation, a comprehensive compilation of the latest applications, readers are presented with a wealth of case studies, innovative algorithms, and cutting-edge methods for estimating crop sown areas, determining crop health status, assessing vegetation dynamics, identifying crop diseases, estimating crop yields, evaluating soil properties, and utilizing drone image analysis for crop damage assessment.

This book serves as an ideal guide for those seeking to explore and effectively implement remote sensing in precision agriculture. It offers a comprehensive and scientifically sound foundation, encompassing a compendium of information that is both scientifically and technologically robust. By delving into the latest applications and methodologies, readers can gain a deeper understanding of the potential of remote sensing to revolutionize agricultural practices and drive sustainable agricultural growth.

One of the key strengths of Remote Sensing in Precision Agriculture is its ability to provide accurate and timely information about crop conditions. By leveraging spaceborne and airborne sensors, researchers and practitioners can gather comprehensive data on crop growth, development, and health, enabling them to make informed decisions and optimize crop management strategies. This includes the estimation of crop sown areas, which is crucial for accurate crop yield prediction and resource allocation.

Another important application of remote sensing in precision agriculture is the determination of crop health status. Remote sensing techniques, such as multispectral imaging and thermal imaging, can detect changes in crop vegetation, including symptoms of stress, disease, and nutrient deficiencies. This information can be used to develop targeted interventions and improve crop yields and quality.

Vegetation dynamics, which encompass the movement and growth of plants within a field, are also crucial for precision agriculture. Remote sensing can provide insights into the spatial and temporal patterns of vegetation growth, which can be used to optimize irrigation, fertilization, and pest management strategies. This information can also help identify areas of crop stress and improve crop productivity.

Crop diseases identification is another area where remote sensing plays a vital role. Remote sensing techniques, such as satellite imagery and drone-based sensors, can detect the presence of crop diseases and identify their severity. This information can be used to develop timely and targeted interventions, reducing the impact of diseases on crop yields and quality.

Crop yield estimation is another critical aspect of precision agriculture, and remote sensing plays a significant role in this area. Remote sensing techniques, such as crop growth modeling and remote sensing-based yield prediction algorithms, can provide accurate estimates of crop yields based on satellite imagery and other geospatial data. This information can be used to optimize irrigation, fertilization, and pest management strategies, leading to increased crop yields and profitability.

Soil properties are also important for precision agriculture, as they can impact crop growth and productivity. Remote sensing can provide insights into soil composition, texture, and moisture content, which can be used to optimize fertilizer application and irrigation strategies. This information can also help identify areas of soil degradation and develop targeted remediation plans.

Drone image analysis is another emerging area of remote sensing in precision agriculture, where drones are used to capture high-resolution images of crops and fields. This information can be used to analyze crop growth patterns, identify areas of stress or disease, and assess crop damage. Drone image analysis can also be used to map crop fields, providing valuable insights for precision agriculture practices.

In conclusion, Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation is a comprehensive and valuable resource for those seeking to explore and implement remote sensing in precision agriculture. The book offers a wealth of case studies, innovative algorithms, and cutting-edge methods for estimating crop sown areas, determining crop health status, assessing vegetation dynamics, identifying crop diseases, estimating crop yields, evaluating soil properties, and utilizing drone image analysis for crop damage assessment. By leveraging spaceborne, airborne, and drone geospatial data, remote sensing has the potential to revolutionize agricultural practices and drive sustainable agricultural growth. Whether you are a researcher, practitioner, or enthusiast, this book provides a solid foundation for understanding and leveraging the power of remote sensing in precision agriculture.

Dimension: 235 x 191 (mm)
ISBN-13: 9780323910682