This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers.

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers.

In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.

In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.

This research work defines the various techniques used for information hiding, their applications and also discusses the drawbacks of implementing those techniques independently. The motivation for this work includes provision of protection of information during transmission without any detection of information. In the present work, it has been observed that steganography is the solution for given problem as in this technique, existence of data is not evident. Among various types of steganographic techniques, image steganography is best solution. Thus, a new image steganography scheme based on Effective Channel Selection Technique for Encoding and Decoding of Data has been proposed. The proposed scheme can encode any colored image files as well as gray-scale image files in order to protect confidential text data from unauthorized access. A PSNR calculator tool has been used for measuring the image quality factors. Further, these quality parameters have been used to generate graphical outputs and tabular values for comparison with the best known image steganographic techniques.