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Decision Support Systems for Weed Management
Weed management Decision Support Systems (DSS) are increasingly important computer-based tools for modern agriculture. Nowadays, extensive agriculture has become highly dependent on external inputs and both economic costs, as well the negative environmental impact of agricultural activities, demands knowledge-based technology for the optimization and protection of non-renewable resources. In this context, weed management strategies should aim to maximize economic profit by preserving and enhancing agricultural systems. Although previous contributions focusing on weed biology and weed management provide valuable insight on many aspects of weed species ecology and practical guides for weed control, no attempts have been made to highlight the forthcoming importance of DSS in weed management. This book is a first attempt to integrate `concepts and practice’ providing a novel guide to the state-of-art of DSS and the future prospects which hopefully would be of interest to higher-level students, academics and professionals in related areas.
Ecologically Based Weed Management
Ecologically Based Weed Management Protect crop yields and strengthen ecosystems with this essential guide Research into weed management is an increasingly critical component of both environmental stewardship and food production. The potential cost of weed propagation can be measured in crop yield reductions, under-nourished populations, stymied economies, and more. The propagation of herbicide-resistant weed populations means that purely chemical weed management is no longer viable; food production can now be secured only with an ecological approach to weed control. Ecologically Based Weed Management details such approaches and their potential to manage weeds across a range of agricultural ...
Herbicide Resistance in Weeds: Early Detection, Mechanisms, Dispersal, New Insights and Management Issues
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Biology and Management of Problematic Crop Weed Species
Weeds are the main biological constraint to crop production throughout the year. Uncontrolled weeds could cause 100% yield loss. In Australia, the overall cost of weeds to Australian grain growers was estimated at AU$ 3.3 billion annually. In terms of yield losses, weeds amounted to 2.7 million tonnes of grains at a national level. In the USA, weeds cost US$ 33 billion in lost crop production annually. In India, these costs were estimated to be much higher (US$ 11 billion). These studies from different economies suggest that weeds cause substantial yield and economic loss. Biology and Management of Problematic Weed Species details the biology of key weed species, providing vital information ...
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Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
This book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India, during October 30–31, 2021. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
