Download Free Communicating Home Garden Information Book in PDF and EPUB Free Download. You can read online Communicating Home Garden Information and write the review.

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.
With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.
Health Behavior, Education, & Promotion