Chronic Diseases are the most dangerous diseases for humans and have significant effects on human life.Chronic Diseases like heart disease & Diabetes are the main causes of death.Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.This paper forms the basis of understanding the difficulty of the domain and the amount of efficiency achieved by the various methods recently.

Artificial intelligence (AI) refers to the computational process of finding, identifying, and evaluating patterns in huge data sets using techniques that lie at the confluence of machine learning, statistics, and database strategies. Its major purpose is to extract relevant information from raw data sets and reformat them into the desired format for analysis and application. Web Mining (WM), an expanding viewpoint of data mining, encompasses all data mining and associated processes. It is employed for automatically locating and extracting data from online records and services. So, the goal of WM is to glean useful information from the web. Given its significance, this research conducts a survey of DM methods for web mining.

In a country like India agriculture is the basic livelihood for people. It contributes a major portion in the economy of the country. In traditional farming techniques, irrigation requires manual intervention and a lot of cost,which is minimized using the automated technology of irrigation. Vertical farming is a technology of growing plants in a vertical orientation using less land, less water, less cost and more yields.The technology used here is internet of things (IoT) to transfer the information after sensing and continuous monitoring of crops. The main reason for adopting vertical farming is that when there is scarcity of water it recycles the water.In smart vertical farming sensors are used for measuring soil moisture level, temperature, humidity and light which are very essential for plant growth and development, a 3D print gripper for harvesting the crops, artificial lighting is provided so that the crops undergo photosynthesis process. The work was done on fenugreek crop by sowing under two different conditions namely pot cultivation and vertical farming module equipped with smart technology. Observations are recorded at 10 days interval.The readings obtained from various sensors are seen in BLYNK app. using mobile phone.

This book is a platform for anyone who wishes to explore robotics in the field of agriculture and broaden their understanding and its uses. This book offers an expert system with proper examples to understand. The book also covers the basics of robotics with example so that anyone can easily understand the concept. The book is divided into fifteen chapters and explores the areas where robotics can play an important role to enhance the efficiency and productivity in agricultural field. After reading this book, you'll understand what robotics is, where it is applicable, and what are its different branches, which can be useful in different scenarios.

This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.