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Digital farming is the use of modern technology such as sensors, robotics, and data analysis to automate tasks that farmers formerly performed. This study focuses on a semi-automated vehicle capable of ploughing, seeding, and water irrigation, which is one of the most recent agricultural robotics accomplishments. Object detection in a route in the context of automated farming. Concerns include programming algorithms and enhancing sensor performance. Digital agricultural gateways, Multi-Functional Vehicles, Humanoid Robots, aerial photographs, and ground-based sensors for creating virtual farms were all examined as possibilities. One of the hottest technologies and research issues in the agricultural area is the creation of a swarm of tiny robots and drones to work with farming inputs and reveal previously hidden or denied data. In the instance of automated robot farming, automated programming with a function might be faster and more efficient than the existing professional. Despite the fact that robots and farming are merging, an automated agriculture system has to be acceptedas true, which will not be deployed anytime soon. [ABSTRACT FROM AUTHOR]

6R robot manipulator is a serial link manipulator that has six rotary Degrees of Freedom (DOF). The first extremity of this serial manipulator is a fixed link attached to the base and the last extremity is the end-effector attached gripper device. This work encompasses the development of a Graphical User Interface (GUI) for the user to give the coordinates to pick up the object and place it in a desired position and orientation. The manipulator CAD model is developed based on industry requirements and linked with GUI. The motion of the manipulator can be visualized in the GUI in addition to the entire coordinate traveled by the end-effector to reach the destination. The joint space motion and its parameters can be analyzed before it is implemented in hardware. [ABSTRACT FROM AUTHOR]

Boiler tube failure due to tube leak is one of many reasons due to which the thermal power plant unit goes off the line unexpectedly. Hence it is imperative to develop accurate and early tube leak diagnostic for consistent operation of power plant. This paper presents a review on recent studies and investigations done on the causes of failure in boiler tubes and leakage diagnostic system. Also, systematic tube leak diagnostic system for thermal power plant reheater based on parameter estimation using two different approaches of Extended Kalman Filter (EKF) is attempted. The experimental results prove that Dual Extended Kalman Filter (DEKF) outperforms in model parameter estimation when compared with Joint Extended Kalman Filter (JEKF). The advantage of the proposed methodology is that the leak detection is based on the already available plant measurements and does not require any additional hardware. The work outcome helps to prevent expensive secondary damage and unscheduled outages. [ABSTRACT FROM AUTHOR]