Plant Stress Mitigators: Types, Techniques and Functions presents a detailed contextual discussion of various stressors on plant health and yield, with accompanying insights into options for limiting impacts using chemical elicitors, bio-stimulants, breeding techniques and agronomical techniques such as seed priming, cold plasma treatment, and nanotechnology, amongst others. The book explores the various action mechanisms for enhancing plant growth and stress tolerance capacity, including nutrient solubilizing and mobilizing, biocontrol activity against plant pathogens, phytohormone production, soil conditioners, and many more unrevealed mechanisms. This book combines research, methods, opinion, perspectives and reviews, dissecting the stress alleviation action of different plant stress mitigators on crops grown under optimal and sub-optimal growing conditions (abiotic and biotic stresses).

Nano-Enabled Agrochemicals in Agriculture presents a targeted overview of the safe implementation of nanotechnologies within agricultural and horticultural settings, with the purpose of achieving enhanced production while maintaining ecological integrity. The growing global request for agricultural crops and products requires high standards of quality and safety, which has stimulated the search for new technologies that preserve their quality and delay their decomposition. Nanotechnology may boost plant production by improving nutrient uptake/use efficiency with nanoformulations of fertilizers and agrochemicals for plant enhancement, detection and treatment of diseases, and host-parasite interactions at the molecular level using nanosensors. It also may improve plant disease diagnostics, removal of contaminants from soil and water, postharvest management of vegetables and flowers, and reclamation of salt-affected soils. Although the markets for nanoproducts and nanoformulations continue to increase, there are also growing concerns regarding the fate and behavior of nanomaterials in environmental systems. Exploring important topics related to nanotechnology and nanomaterials, the book includes the use of nanochemicals in insect pest management, as nanofungicides, nanoherbicides, micronutrient supply, and nanosensors to monitor crop and soil health conditions, from detection of agrochemicals to their slow release of agrochemicals, and their impact on related environs. This book will serve as an excellent resource for a wide range of plant scientists who have concerns about nanomaterial interactions with terrestrial and aquatic plants.

This book constitutes the refereed proceedings of the 13th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2018, held in Ghent, Belgium, in September 2018. The 20 revised full papers were selected from 26 submissions. The papers are organized thematically in tracks: Experimental, Licensed Shared Access and Dynamic Spectrum Access, and PHX and Sensing.

University-industry research collaboration is an essential, effective and dynamic factor not only for development of social community but also for the development of the nation. Despite the enormous importance of this collaboration, there have been certain problems in successful collaboration, for instance time, trainings, differences in their perceptions, orientations and goals, intellectual property right issues, some other technological competency and fund and financial matters are the key constraints that generates some how proportional to this collaboration. Thus to tackle the basis of these problems and to analyze the strength and weaknesses of these technological linkage, evaluation of such collaboration is highly demanded. This book mainly focused on the development of evaluation model, that is not only responsible for the generation of evaluation metrics based on variables like constraints, success criteria, evaluation parameters and tangible outcomes but also highlights the highly influence variables. The model generated can be utilized for any research collaboration between university-industry to generate successive evaluation metrics (Abeda et. al, 2012)