This book offers an overview of the current knowledge on beta glucanase enzymes derived from actinobacterial source, their structure, functions and industrial applications. It summarizes the exploitation of actinomycetes, assay methods for beta glucanase screening, structural characterisation, genetic engineering, protein engineering, strategies for purification, characterisation and finally how to synthesize a hybrid enzyme of beta glucanases.Enzyme beta glucanases have considerable interest in industrial biotechnology owing to its distinct effect on the hydrolysis of insoluble beta glucan molecules and applications in particular industrial sectors such as food, feed and beverages industries. The beta glucanases are characterized extensively in microorganisms viz. bacteria, fungi and also in plants. A wide varieties of actinobacterial - glucanases have exclusively active on -glucan substrates and cleave the mixed linkage -glucan chains at different points. This is significant for picking precise substrates for the assay of each type of enzymes within this enzyme groups. The well recognized specificity and mechanism of action within the enormous substrates allow to understand that most of them are varied from cellulases, excluding -1,4-glucanases. The progress in genetic and protein engineering in actinobacterial beta glucanases improves the stability, activity and thermodynamic properties in relation with industrial relevance. This book will be useful for researchers and students engaged in industrial biotechnology, enzyme production, molecular biology, protein engineering and many more.

Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.

Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.