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From 1968 to 1972, St. Louis was home to the Black Artists' Group (BAG), a seminal arts collective that nurtured African American experimentalists involved with theater, visual arts, dance, poetry, and jazz. Inspired by the reinvigorated black cultural nationalism of the 1960s, artistic collectives had sprung up around the country in a diffuse outgrowth known as the Black Arts Movement. These impulses resonated with BAG's founders, who sought to raise black consciousness and explore the far reaches of interdisciplinary performance--all while struggling to carve out a place within the context of St. Louis history and culture.A generation of innovative artists--Julius Hemphill, Oliver Lake, and Emilio Cruz, to name but a few--created a moment of intense and vibrant cultural life in an abandoned industrial building on Washington Avenue, surrounded by the evisceration that typified that decade's "urban crisis." The 1960s upsurge in political art blurred the lines between political involvement and artistic production, and debates over civil rights, black nationalism, and the role of the arts in political and cultural struggles all found form in BAG. This book narrates the group's development against the backdrop of St. Louis spaces and institutions, examines the work of its major artists, and follows its musicians to Paris and on to New York, where they played a dominant role in Lower Manhattan's 1970s "loft jazz" scene. By fusing social concern and artistic innovation, the group significantly reshaped the St. Louis and, by extension, the American arts landscape.
Using vivid images and detailed explanations, Gerrish takes graziers step by step through the MiG system. He begins from the ground up with the soil, and advances through the management of pastures and animals. Written for those new to MiG grazing, Gerrish's insight and personal experience can help experienced graziers fine tune their grazing operations for added income.
With the growing popularity and availability of precision equipment, farmers and producers have access to more data than ever before. With proper implementation, precision agriculture management can improve profitability and sustainability of production. Precision Agriculture Basics is geared at students, crop consultants, farmers, extension workers, and practitioners that are interested in practical applications of site-specific agricultural management. Using a multidisciplinary approach, readers are taught to make data-driven on-farm decisions using the most current knowledge and tools in crop science, agricultural engineering, and geostatistics. Precision Agriculture Basics also features a stunning video glossary including interviews with agronomists on the job and in the field.
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 discusses the emerging technologies of big data processing and analytics, such as advanced machine learning and deep learning technologies based on high-performance computing infrastructure. The applications cover different organ levels (root, shoot and seed) of different crops (grains, soybean, maize, potato) at different growth environments (open field and controlled environments). With the contribution of more than 20 world-leading researchers in high-throughput crop phenotyping, the authors hope this book provides readers the needed information to understand the concept, gain the insides and create the innovation of high-throughput phenotyping technology.
Note for the electronic edition: This draft has been assembled from information prepared by authors from around the world. It has been submitted for editing and production by the USDA Agricultural Research Service Information Staff and should be cited as an electronic draft of a forthcoming publication. Because the 1986 edition is out of print, because we have added much new and updated information, and because the time to publication for so massive a project is still many months away, we are making this draft widely available for comment from industry stakeholders, as well as university research, teaching and extension staff.
This guide provides weed identification and control information that turfgrass professionals can use to develop effective weed control programs for golf courses, athletic fields, sod farms, lawns, and other turfgrass systems. The recommendations apply to the majority of the United States, with input from experts in Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Nebraska, New Jersey, New York, Ohio, Pennsylvania, and Wisconsin. Formerly Purdue Extension publication AY-336.
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
In this eloquent plea for compassion and respect for all species, journalist and gardener Nancy Lawson describes why and how to welcome wildlife to our backyards. Through engaging anecdotes and inspired advice, profiles of home gardeners throughout the country, and interviews with scientists and horticulturalists, Lawson applies the broader lessons of ecology to our own outdoor spaces. Detailed chapters address planting for wildlife by choosing native species; providing habitats that shelter baby animals, as well as birds, bees, and butterflies; creating safe zones in the garden; cohabiting with creatures often regarded as pests; letting nature be your garden designer; and encouraging natural processes and evolution in the garden. The Humane Gardener fills a unique niche in describing simple principles for both attracting wildlife and peacefully resolving conflicts with all the creatures that share our world.