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Saurabh Umarkar

Bio: Saurabh Umarkar is an academic researcher from Government College. The author has an hindex of 1, co-authored 1 publications receiving 19 citations.

Papers
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Proceedings ArticleDOI
06 Apr 2016
TL;DR: The qualitative approach of this project is to develop a system which minimizes the working cost and also reduces the time for digging operation and seed sowing operation by utilizing solar energy to run the agribot.
Abstract: The Discovery of Agriculture is the first big step towards civilized life, advancement of agricultural tools is the basic trend of agricultural improvement. Now the qualitative approach of this project is to develop a system which minimizes the working cost and also reduces the time for digging operation and seed sowing operation by utilizing solar energy to run the agribot. In this machine, solar panel is used to capture solar energy and then it is converted into electrical energy which is used to charge battery, which then gives the necessary power to a shunt wound DC motor. Ultrasonic Sensor and Digital Compass Sensor are used with the help of Wi-Fi interface operated on Android Application to manoeuvre robot in the field. This brings down labour dependency. Seed sowing and digging robot will move on various ground contours and performs digging, sowing the seed and covers the ground by closing it. The paper spells out the complete installation of the agribot including hardware and software facet.

33 citations


Cited by
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Proceedings ArticleDOI
12 Jun 2019
TL;DR: The designed robot gets energy from solar panel and is operated using Bluetooth/Android App which sends the signals to the robot for required mechanisms and movement of the robot, which increases the efficiency of seed sowing, pesticide spraying and grass cutting and also reduces the problem encountered in manual planting.
Abstract: In India nearly about 70 percentage of people are depending on agriculture. Numerous operations are performed in the agricultural field like seed sowing, grass cutting, ploughing etc. The present methods of seed sowing, pesticide spraying and grass cutting are difficult. The equipment's used for above actions are expensive and inconvenient to handle. So the agricultural system in India should be encouraged by developing a system which will reduce the man power and time. This work aims to design, develop and design of the robot which can sow the seeds, cut the grass and spray the pesticides, this whole system is powered by solar energy. The designed robot gets energy from solar panel and is operated using Bluetooth/Android App which sends the signals to the robot for required mechanisms and movement of the robot. This increases the efficiency of seed sowing, pesticide spraying and grass cutting and also reduces the problem encountered in manual planting.

27 citations

Proceedings ArticleDOI
01 Apr 2018
TL;DR: This proposed system aims at designing multi-purpose autonomous agricultural robotic vehicle which is controlled by GPS and MAGNETOMETER for ploughing, seeding, leveling and message indication to start irrigation.
Abstract: Agriculture is chosen as the primary occupation over majority population in the world. In the recent times, development of autonomous vehicles like robots has increased in agricultural field. The existing agricultural robots performs basic elementary functions like harvesting, planting and watering. This proposed system aims at designing multi-purpose autonomous agricultural robotic vehicle which is controlled by GPS and MAGNETOMETER for ploughing, seeding, leveling and message indication to start irrigation. This robot can especially be used in the areas which are harmful for humans. These robots are used to reduce human work, ensuring efficient and proper utilization of resources. These robots are mainly used for fertilization based on soil condition and several testing.

19 citations

Proceedings ArticleDOI
05 Mar 2020
TL;DR: In this paper, a study on Agrobots effective in a diverse environment, its control and action process conjoined with mapping and detection using machine vision and machine learning algorithms are distinguished.
Abstract: An intelligent precise autonomous farming by an agricultural robot achieves the farm duties possibly harvesting, weed detection, disease identification, pruning and fertilizing deals with path planning and mapping of the unstructured and uncertain environment. A machine vision-based Agrobots along with artificial intelligence provides unmanned ground vehicle and unmanned aerial vehicle to navigate the path and to implement the agricultural task for minimizing labour and increasing quality food production. The perception-related work uses a machine learning algorithm to detect the feature and analyze the agricultural tasks for the autonomous machine. The trained data sets create the ability for robots to learn and decide the farm practices. The dawn of autonomous system design gives us the outlook to develop a wide range of flexible agronomic equipment based on multi-robot, smart machines and human-robot systems which lessen waste, progresses economic feasibility also reduces conservational impact and intensifies food sustainability. The multi-tasking Agrobots overcomes the effort of farmers in agricultural husbandry, independent of the climatic conditions. In this paper, a study on Agrobots effective in a diverse environment, its control and action process conjoined with mapping and detection using machine vision and machine learning algorithms are distinguished.

17 citations

Journal ArticleDOI
TL;DR: This project aims to design and fabrication of the smart seed sowing robot, a device that helps in the sowing of seeds in the desired position hence assisting the farmers in saving time and money.

15 citations

Journal ArticleDOI
31 Dec 2018
TL;DR: The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot.
Abstract: The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.

13 citations