Transforming Agricultural Technology by Artificial Intelligence and Robotics. Questo articolo non è disponibile.Transforming Agricultural Technology by Artificial Intelligence and Robotics

This book discusses major issues in the field of agriculture: crop diseases, lack of storage management, pesticide control, weed management, lack of irrigation and water management and their effective resolution via automation, including IoT, wireless communications, machine learning, artificial intelligence, and deep learning. It further discusses the sterile insect technique, which is a replacement of conventional pesticide and fertilizer techniques. Hydroponics and vertical farming, two of the top-ranked agricultural engineering accomplishments of the past century, are also discussed.

Features:

• Offers in-depth insights regarding the fundamentals of technologies associated with the agriculture sector
• Synthesizes earlier works of researchers and inventors in this field
• Sheds light on the challenges and problems of supply and demand worldwide
• Encourages the reader to innovate and ideate upon those issues
• Analyses the wide array of services provided by companies worldwide and discusses recent breakthroughs in agriculture automation

This book is aimed at the work of many researchers to obtain a concise overview of the current implementation of automation in agriculture and derive important insight into its upcoming challenges.

Manan Shah is a BE in Chemical Engineering from the LD College of Engineering, Gujarat Technological University, and M. Tech. in Petroleum Engineering from the School of Petroleum Technology, PDPU, Gandhinagar, Gujarat. He has completed his PhD in the area of exploration and exploitation of Geothermal Energy in the state of Gujarat. He is currently working as an Assistant Professor in Department of Chemical Engineering, School of Technology (SOT), PDPU and Research Scientist in Centre of Excellence for Geothermal energy (CEGE). His area of research includes power generation from low enthalpy geothermal reservoirs using Organic Rankine Cycle. He was also involved in designing of Geothermal Space Heating and Cooling system at Dholera and doing research on hybrid setup in renewable energy sector. Dr. Shah has received Young Scientist Award form Science and Engineering Research Board (SERB). He has published several articles in reputed international journals in the area of Renewable energy sector, petroleum engineering, Water quality, Chemical Engineering. He serves as an active reviewer for several reputable international journals as well.

Aalap Doshi holds a Master's degree in Electrical Engineering with a specialization in Control Systems from Ira A. Fulton Schools of Engineering, at Arizona State University (ASU). Prior to this, he completed his B.Tech in Electronics and Communication from L.D college of Engineering, Gujarat Technological University. Aalap currently serves as an Automation Engineer at CertainTeed Saint-Gobain. During his academic pursuits, Aalap gained a comprehensive understanding of classical control theory having studied subjects like Feedback Control Systems, Design Multivariable Control Systems, Linear Systems Theory, and others. He had also worked in a research lab at ASU named "BIRTH Lab" on Lizard Inspired Tube Inspection Robot (LTI) research project as an electronics engineer handling electronics and feedback control part of the robot. He has worked on multiple projects in electronics and automation domain and he loves solving problems that will affect the next generation of humanity. His area of interests are Robotics and Control systems, Electronics and Electrical engineering and he wants to work in the Agriculture Automation domain. Aalap is author of two research papers both in agriculture automation domain. Aalap has received the Best Paper Award for having the most number of citation in a single year. He serves as an active reviewer for reputable international journals as well.

Kanish Shah has done his Master's in Computer Sceience from the University of Southern California, Los Angeles and B.Tech in Computer Engineering from Indus University. In the past he worked as a Machine Learning Developer at LogicRays Technologies pvt. ltd. His area of interest includes machine learning and its applications along with software development. He has worked in various software companies as an Intern, one of them being a research intern at Indian Space Research Organization. He has been greatly involved in the research work during his Engineering days. He has published several research papers in renowned scopus journals and is also a reviewer in many journals.

Ameya Kshirsagar is BTech in Information Technology from Symbiosis Institute of Technology, Pune, Maharashtra. He has published several articles in reputed international journals in the area of computer science, data science, machine learning, finance and so forth. He has also served as a reviewer for reputable international journal.