Spectroscopy, imaging and machine learning for crop stress PDF Download

Author: Shizhuang Weng
Publisher: Frontiers Media SA
ISBN: 2832532209
Category : Science
Languages : en
Pages : 176

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Author: Dipanwita Dutta
Publisher: Elsevier
ISBN: 0323956173
Category : Science
Languages : en
Pages : 317

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Book Description
Vegetation Dynamics and Crop Stress: An Earth-Observation Perspective focuses on vegetation dynamics and crop stress at both the regional and country levels by using earth observation (EO) data sets. The book uniquely provides a better understanding of natural vegetation and crop failure through geo-spatial technologies. This book covers biophysical control of vegetation, deforestation, desertification, drought, and crop-water efficiency, as well as the application of satellite-derived measures from optical, thermal, and microwave domains for monitoring and modeling crop condition, agricultural drought, and crop health in contrasting monsoon/weather episodes. - Provides a quantitative analysis of vegetation and crop stress based on EO datasets - Offers descriptions of the spatially explicit vegetation and crop model development, implementation, and validation - Covers the impact of soil-water stress on crop performance and vegetation response to climate change using earth observation techniques

Author: Leizi Jiao
Publisher: Frontiers Media SA
ISBN: 2832532578
Category : Science
Languages : en
Pages : 137

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Book Description
Intelligent agriculture is the inevitable trend of future agriculture. As the brain of intelligent agriculture, advanced sensors determine the degree of agricultural environment and crop perception. However, an outstanding problem is the long-standing lack of effective sensing and monitoring tools in agriculture. Most information still relies on time-consuming and complex laboratory analysis and can only be off-line measured. Therefore, in-situ, on-line and sensitive methods for monitoring information about the agricultural environment and crops are urgently needed. With the development of material science, manufacturing technology and spectroscopy, more and more fast and high-precision spectroscopic methods and sensors are applied in the agricultural environment, livestock breeding and crop. Especially with the development of spectral enhancement, image processing and deep learning techniques, the study of the advanced spectroscopic methods to rapidly and precisely detect heavy metals and nutrients in the soil, harmful gas, water pollutant and crop stress will reduce the probability of subjective error judgment and improves agricultural management and production efficiency. Application of spectroscopy in an agricultural environment and livestock breeding is a research topic of Frontiers in Physics that publishes original research on the field of agricultural physics. And the aim of this research topic is to explore novel and groundbreaking spectroscopic methods to rapidly and in-situ detect information about the agricultural environment, livestock breeding and crop stress, which could be beneficial in the development of Intelligent agriculture.

Author: Susanna Von Caemmerer
Publisher: CSIRO PUBLISHING
ISBN: 9780643063792
Category : Science
Languages : en
Pages : 186

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Increasing concerns of global climatic change have stimulated research in all aspects of carbon exchange. This has restored interest in leaf-photosynthetic models to predict and assess changes in photosynthetic CO2 assimilation in different environments. This is a comprehensive presentation of the most widely used models of steady-state photosynthesis by an author who is a world authority. Treatments of C3, C4 and intermediate pathways of photosynthesis in relation to environment have been updated to include work on antisense transgenic plants. It will be a standard reference for the formal analysis of photosynthetic metabolism in vivo by advanced students and researchers.

Author: Fulai Liu
Publisher: Academic Press
ISBN: 0323854508
Category : Science
Languages : en
Pages : 408

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Book Description
Sustainable Crop Productivity and Quality under Climate Change: Responses of Crop Plants to Climate Change explores the physiological, biochemical, and molecular basis of the responses of major crop plants to a range of climate change scenarios. From the development of climate-resilient crop varieties which lead to enhanced crop productivity and quality to better utilization of natural resources to ensure food security through modern breeding techniques, it presents insights into improving yield while securing the environment. Understanding the impact of climate on crop quality and production is a key challenge of crop science. Predicted increases in climate variability necessitate crop varieties with intrinsic resilience to cooccurring abiotic stresses such as heat, drought, and flooding in a future climate of elevated CO2. This book presents a much-needed mechanistic understanding of the interactions between multiple stress responses of plants that is required to identify and take advantage of acclimation traits in major crop species as a prerequisite for securing robust yield and good quality. This book is an excellent reference for crop and agricultural scientists, plant scientists, and researchers working on crop plant ecophysiology/stress physiology and future crop production. - Includes breeding strategies for developing climate-resilient crop varieties - Presents a comprehensive overview of the current challenges, approaches, and best practices - Authored by frontline researchers and experts who work at the fields of climate change impacts on crop productivity

Author: Michele Pisante
Publisher: Frontiers Media SA
ISBN: 2889766403
Category : Science
Languages : en
Pages : 309

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Author: Yuliang Yun
Publisher: Springer Nature
ISBN: 9819764416
Category :
Languages : en
Pages : 181

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Author: Saurabh Prasad
Publisher: Springer Nature
ISBN: 3030386171
Category : Computers
Languages : en
Pages : 464

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Book Description
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Author: Wanneng Yang
Publisher: Frontiers Media SA
ISBN: 2832520960
Category : Science
Languages : en
Pages : 266

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Author: Ning Yang
Publisher: Frontiers Media SA
ISBN: 2832529801
Category : Science
Languages : en
Pages : 264

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Book Description