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Author: Antonio Mucherino Publisher: Springer Science & Business Media ISBN: 038788615X Category : Mathematics Languages : en Pages : 284
Book Description
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.
Author: Antonio Mucherino Publisher: Springer Science & Business Media ISBN: 038788615X Category : Mathematics Languages : en Pages : 284
Book Description
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.
Author: Xanthoula Eirini Pantazi Publisher: Academic Press ISBN: 0128143924 Category : Business & Economics Languages : en Pages : 330
Book Description
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction
Author: Piñeiro, Valeria Publisher: Intl Food Policy Res Inst ISBN: Category : Political Science Languages : en Pages : 44
Book Description
Gold mining is the main economic activity in Madre de Dios, Peru. Despite efforts, the state has not yet managed to identify a formalization process achievable for small operators. In addition, many small-scale miners are driven by poverty and need income to provide for their basic needs. Because participation in small-scale mining is largely driven by poverty, it is likely that, in the longer term, much artisanal mining activity will disappear naturally if, through economic development, more attractive work options become available. This paper reviews the importance of illegal mining in Madre de Dios and the potential for development of the agriculture sector. It also analyzes three different policy scenarios: (1) government spending to rectify the environmental damage in the region caused by illegal mining, (2) development of the agricultural sector in the region, and (3) a final scenario with both environmental restoration and agricultural development. Results show that additional government spending in Madre de Dios does not significantly affect the rest of the country and that investment in agriculture can achieve structural change in the gross domestic product of Madre de Dios. Development of the agricultural sector also slightly increases household incomes in Madre de Dios.
Author: Chris Stokes Publisher: CSIRO PUBLISHING ISBN: 0643102051 Category : Technology & Engineering Languages : en Pages : 297
Book Description
Adapting Agriculture to Climate Change is a fundamental resource for primary industry professionals, land managers, policy makers, researchers and students involved in preparing Australia’s primary industries for the challenges and opportunities of climate change. More than 30 authors have contributed to this book, which moves beyond describing the causes and consequences of climate change to providing options for people to work towards adaptation action. Climate change implications and adaptation options are given for the key Australian primary industries of horticulture, forestry, grains, rice, sugarcane, cotton, viticulture, broadacre grazing, intensive livestock industries, marine fisheries, and aquaculture and water resources. Case studies demonstrate the options for each industry. Adapting Agriculture to Climate Change summarises updated climate change scenarios for Australia with the latest climate science. It includes chapters on socio-economic and institutional considerations for adapting to climate change, greenhouse gas emissions sources and sinks, as well as risks and priorities for the future.
Author: Antony van der Ent Publisher: Springer Nature ISBN: 3030589048 Category : Technology & Engineering Languages : en Pages : 482
Book Description
This second and expanded edition of the first book on agromining (phytomining) presents a comprehensive overview of the metal farming & recovery of the agromining production chain. Agromining is an emerging technology that aims to transform the extraction of sources of target elements not accessible by traditional mining and processing techniques. Agromining, which is based on sustainable development, uses hyperaccumulator plants as 'metal crops' farmed on sub-economic soils or minerals wastes to obtain valuable target elements. This volume is edited and authored by the pioneers in the rapidly expanding field of agromining and presents the latest insights and developments in the field. This book provides in-depth information on the global distribution and ecology of hyperaccumulator plants, their biogeochemical pathways, the influence of rhizosphere microbes, the physiology and molecular biology of hyperaccumulation, as well as aspects of propagation and conservation of these unusual plants. It describes the agronomy of metal crops and opportunities for incorporating agromining into rehabilitation and mine closure, including test cases for agromining of nickel, cobalt, manganese, arsenic, selenium, cadmium, zinc, thallium, rare earth elements and platinum group elements. Since the first edition was published, there have successful nickel agromining field trials in the tropics (in Malaysia and Guatemala), and these are presented in a dedicated case study chapter. Other new chapters focus on the processing of bio-ore for elements other than nickel, such as rare earth elements and cadmium, and on agromining from industrial wastes such as tailings, and industrial by-products and sites. Furthermore, the book features two new chapters that provide a comprehensive assessment of accumulation a very wide range elements from the Periodic Table in various plant species around the globe, and a chapter on practical methods for discovery of hyperaccumulator plant species in the field and in the herbarium. This book is of interest to environmental professionals in the minerals industry, government regulators, and academics.
Author: Antonio Mucherino Publisher: Springer Science & Business Media ISBN: 0387886141 Category : Mathematics Languages : en Pages : 284
Book Description
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.
Author: Antonio Mucherino
Author: Antonio Mucherino
Author: Xanthoula Eirini Pantazi
Author: Piñeiro, Valeria
Author: Chris Stokes
Author: Ricardo A. Godoy
Author: Antony van der Ent
Author: United States. Congress. House. Committee on Agriculture
Author: Antonio Mucherino
Author: David G. Struck
Author: Arkansas. Bureau of Mines, Manufactures, and Agriculture