Decision Support Systems In Agriculture Food And The Environment
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Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances
As national and international concern over sustainable resources becomes more prevalent, the need for decision support systems (DSS) increases. The applicable uses of a successful system can assist in the sustainability of resources, as well as the efficiency and management of the agri-environment industry. Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances presents the development of DSS for managing agricultural and environmental systems, focusing on the exposition of innovative methodologies, from web-mobile systems to artificial intelligence and knowledge-based DSS, as well as their applications in every aspect from harvest planning to international food production and land management. This book provides an in depth look into the growing importance of DSS in agriculture.
Agricultural Internet of Things and Decision Support for Precision Smart Farming
Author: Annamaria Castrignano
language: en
Publisher: Academic Press
Release Date: 2020-01-09
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. - Presents the science behind smart technologies for agricultural management - Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space - Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable
Improving data management and decision support systems in agriculture
Author: Dr Leisa Armstrong
language: en
Publisher: Burleigh Dodds Science Publishing
Release Date: 2020-04-28
Reviews key steps in improving data management, from improving data access and establishing standards for reliable data to effective tagging for discoverability as well as data security Covers a wide range of practical applications of decision support systems (DSS) in crop production, such as crop planting, nutrition and use of rotations Includes the use of DSS in key areas of livestock production such as feed optimization and pasture management