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Advanced Machine Intelligence and Signal Processing
This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Compu...
Genetically Modified Crops in Asia Pacific
Meeting future food needs without compromising environmental integrity is a central challenge for agriculture globally but especially for the Asia Pacific region – where 60% of the global population, including some of the world’s poorest, live on only 30% of the land mass. To guarantee the food security of this and other regions, growers worldwide are rapidly adopting genetically modified (GM) crops as the forerunner to protect against many biotic and abiotic stresses. Asia Pacific countries play an important role in this, with India, China and Pakistan appearing in the top 10 countries with acreage of GM crops, primarily devoted to Bt cotton. Genetically Modified Crops in Asia Pacific d...
Molecular Stress Physiology of Plants
Crop growth and production is dependent on various climatic factors. Both abiotic and biotic stresses have become an integral part of plant growth and development. There are several factors involved in plant stress mechanism. The information in the area of plant growth and molecular mechanism against abiotic and biotic stresses is scattered. The up-to-date information with cited references is provided in this book in an organized way. More emphasis has been given to elaborate the injury and tolerance mechanisms and growth behavior in plants against abiotic and biotic stresses. This book also deals with abiotic and biotic stress tolerance in plants, molecular mechanism of stress resistance of...
Advances in Agronomy
Advances in Agronomy, Volume 182, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field, each written by an international board of authors. - Includes numerous, timely, state-of-the-art reviews on the latest advancements in agronomy - Features distinguished, well recognized authors from around the world - Builds upon this venerable and iconic review series - Covers the extensive variety and breadth of subject matter in the crop and soil sciences
Beneficial Chemical Elements of Plants
BENEFICIAL CHEMICAL ELEMENTS OF PLANTS Understand beneficial elements and their role in the future of botany and agriculture Beneficial elements are those which, while not essential to plant life, can provide stimulation and enhance plant growth. Properly harnessed, these elements can bolster plant growth in the face of environmental conditions—including drought, nutrient deficiency, and excessive soil salinity—and biotic stresses like pathogens and animal activity. As climate change and population growth pose increasingly serious challenges to agriculture and essential plant production, it has never been more important to unleash the potential of beneficial elements. Beneficial Chemical...
Applied Machine Learning for Assisted Living
User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care system in the literature to identify current practices for future research directions. Therefore, this book is aimed at a comprehensive review of data sources (e.g., sensors) with machine learning f...
Biostimulants in Agriculture II: Towards a Sustainable Future
Modern agriculture needs to review and broaden its practices and business models, by integrating opportunities coming from different adjacent sectors and value chains, including the bio-based industry, in a fully circular economy strategy. Searching for new tools and technologies to increase crop productivity under optimal and sub-optimal conditions and to improve resources use efficiency is crucial to ensure food security while preserving soil quality, microbial biodiversity, and providing business opportunities for farmers. Biostimulants based on microorganisms or organic substances obtained from renewable materials represent a sustainable, efficient technology or complement to synthetic c...
