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Proceedings of Conference on Sustainable Traffic and Transportation Engineering in 2023
This open access book discusses modern cutting-edge techniques and theoretical research in the domain of transportation engineering. As China's Belt and Road Initiative (BRI) gains momentum over these years, the construction of transport routes between China and its neighboring countries has seen an unprecedented rise, which draws increased attention from researchers to the theoretical advances and technological innovation in the construction of transportation facilities. It will be an invaluable asset for the development of transport infrastructure construction technologies worldwide. Among the landmark engineering projects in the initiative are the Piraeus Port in Greece, the 100-MW photov...
Phenomics
"Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops.
Bioinformatics of Genome Regulation and Structure
- The data gathered can be used to solve a wide range of problems - for basic science and applied science
Applications of artificial intelligence, machine learning, and deep learning in plant breeding
Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An important subset of AI is Machine Learning (ML), in which a computer is provided with the capacity to learn its own patterns instead of the patterns and restrictions set by a human programmer, thus improving from experience. Deep Learning (DL), as a class of ML techniques, employs multilayered neural networks. The application of AI to plant science research is new and has grown significantly in recent years due to developments in calculation power, proficien-cies of hardware, and software progr...
Golden Stripes
The first leadership book of its kind, written by a mariner specifically for commercial shipping.
High-Throughput Crop Phenotyping
This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also d...
The Encyclopedia of Seeds
This is the first scholarly reference work to cover all the major scientific themes and facets of the subject of seeds. It outlines the latest fundamental biological knowledge about seeds, together with the principles of agricultural seed processing, storage and sowing, the food and industrial uses of seeds, and the roles of seeds in history, economies and cultures. With contributions from 110 expert authors worldwide, the editors have created 560 authoritative articles, illustrated with plentiful tables, figures, black-and-white and color photographs, suggested further reading matter and 670 supplementary definitions. The contents are alphabetically arranged and cross-referenced to connect related entries.
Computer Vision – ECCV 2012
The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.
Plant Genetic Resources
This collection starts by reviewing key issues such as valuing, identifying and monitoring plant genetic diversity. The book goes on to assess advances in in-situ and on-farm strategies for protecting crop wild relatives and landraces. Chapters cover topics such as local strategies for preserving crop genetic resources, in-situ management of wild plant populations, monitoring genetic diversity and collecting wild varieties. The book also discusses community-based conservation strategies, participatory plant breeding programmes and seed systems to ensure farmer access to improved varieties. Part 4 reviews key challenges facing ex-situ collections such as genebanks, including improved storage and conservation techniques. Parts 5 and 6 assesses improvements in characterising and evaluating plant genetic resources such as DNA-based screening and phenotyping, as well as ways of improving the quality and exchange of information and germplasm for use in breeding improved varieties.
