Artificial farming – An electronic approach to grow plants
This project is for growing plants or vegetables inside the packed electronic environment by using the artificial plant grow Led to growing the plants. The photosynthesis process carried out by the plants independent on the LEDs which will provide the total electronic surrounding to the crops so we can call it as an “Artificial farming- an electronic approach to grow plants”. In this project, we have made a prototype of actual concept. The amount of water required to grow the plants is very much less as compared to the traditional farming, here we have provided the automation technique for providing water to the plants. In this prototype, we have made a rack structure so that we can take the more crop production by making racks on one above in a small area. In this artificial environment, we are using sensors to monitor the condition of the soil, air, temperature. According to collected data by the sensors, this data is provided to aurdino for the controlling the water supply, lights, fans. The LEDs are used to provide the special light wavelength. By using that wavelength the plants are going to carry out the photosynthesis process. In this process, the food making process of plants is light dependent. As the environment is indoor it will not have any insects, and pests affecting the crops, hence no insecticides and pesticides will be required. The indoor environment will neither evaporate water nor will percolate it into the earth hence water requirements be very small. The indoor environment is equipped with artificial lighting, so crops can be grown independent of season. By using the electronic farming method we can reduce the greenhouse gases, the overall quality of the food is increased due to the organic fertilizers being used to grow the plant and also the pesticides and the chemical fertilizers are not used in this type of farming. The water required for the electronic farming is much lesser than the ordinary traditional farming. As it is completely indoor so that the atmospheric effect is not observed on the plant so we can take year-round food production.
Published by: Ajinkya Bhupal Mahajan, Bhau Bhimrao Kharat, Swapnil Chandrakant Kundale
Author: Ajinkya Bhupal Mahajan
Paper ID: V4I2-1597
Paper Status: published
Published: April 7, 2018
Data preprocessing and balancing to enhance end to end learning in self-driving vehicle
Driving a vehicle has always been a demanding task be it any vehicle since robotics and artificial intelligence has progressed multi-folds in the last decade which gave us the technological grounds to automate many processes which include driving. Developing autonomous vehicle is the current research area for many corporate like are Google, Tesla, Nvidia, and Uber. Several proposed methodology for them is Nvidia’s Behavioural Cloning, CommaAI’s OPENPILOT, Tesla’s AUTOPILOT all of which uses the camera to process surrounding of the vehicle. In this paper, we discuss Nvidia’s recent work (behavioral cloning) and incorporate their work with few techniques of our own like filtering the repeating data and augment the input data to reduce the amount of data collection required.
Published by: Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma
Author: Syed Zishan Ali
Paper ID: V4I2-1629
Paper Status: published
Published: April 7, 2018
Identification of quality index of fruit/vegetable using Image Processing
The recent application and development of image analysis in the quality evaluation of products in the field of agricultural and food. Images are the important source of data and information in the agricultural sciences. The basic concepts and technologies associated with computer vision system and automatic vision-based technology, tool used in image analysis and automated sorting and grading are highlighted.The proposed system starts the process by capturing the fruit or vegetable image.Then, the image is transmitted to the processing level where the fruit features like color, shape and size of fruit samples are extracted. After that by using artificial neural network fruit images are going through the training and testing. In this proposed paper, the neural network is used to detect shape, size and color of fruit and with the combination of these three features, the results obtained are very promising.
Published by: R. Prince, H. Sathish, R. Sai Kumar, V. Karthik, S. Jeya Anusuya, S. P. Vijay Vardhan Reddy
Author: R. Prince
Paper ID: V4I2-1322
Paper Status: published
Published: April 6, 2018
Precast Polymer Paver (road)
Polymer and rubber tier which is increasing day by day becomes an eyesore and it pollutes the environment. A large amount of polymer and tier are discarded or burned which effect to environment and air. Hence, these waste polymer (HDPE) and rubber (tier) are to be effectively utilized. In this project High-density polyethylene (HDPE) bags, bottle and rubber crumb are cleaned and melted and then the aggregate is added, this homogenous mixture is poured in a cube and placed in an oven for crystallization process. After crystallization of 2 to 3 hours cube is ready for use, it does not require curing. Like a small cube of 15cm x 15cm x 15cm large size of paver can also be formed such as 1m x 1m or as per design requirement in the industry and placed on land for the use of road and footpath. This alternatively saves the quanta of cement and reinforcement which is a costlier product in road construction project. With the help of more research on this precast polymer road, it’s properties can be enhanced easily.
Published by: Patel Mohd Faisal Mohd Hasan, Muzammil Arif Shaikh, Shinde Ashutosh Kashinath, Sangle Rahul
Author: Patel Mohd Faisal Mohd Hasan
Paper ID: V4I2-1592
Paper Status: published
Published: April 6, 2018
Automatic attendance system using Webcam
Attendance marking in a classroom during a lecture is not only burdensome but also a time-consuming task. Due to a usually large number of students present in the lecture hall, there is always a possibility of proxy attendance. It is extremely difficult for lecturers to manually identify the students who skip their lectures on a regular basis. Attendance management of students through the conventional methods had been a challenge in the recent years. In this method, the camera is fixed in the classroom and it will capture the image, the faces are deleted and then it is recognized with the database and finally, the attendance is marked. In this paper, we propose a conceptual model for automated attendance system through facial recognition.
Published by: Simran Raju Inamdar, Aishwarya Vijaykumar Patil, Ankita Digambar Patil, Dr. S. M. Mukane
Author: Simran Raju Inamdar
Paper ID: V4I2-1502
Paper Status: published
Published: April 6, 2018
The Smart Mirror
In this paper, we describe the design and development of a futuristic mirror that offers simplified and customizable services to the home environment. The mirror interface provides users with the versatility needed for better management and integration of daily tasks. On a par with the recent advances in the Internet of Things standards and applications, the mirror is designed to enable residents to control the household smart appliances and access personalized services. The proposed system is set apart from others for its provision of various customized information services for user profile generation.
Published by: Ramya .S, Yuvamalini. M, Saranya. S
Author: Ramya .S
Paper ID: V4I2-1522
Paper Status: published
Published: April 6, 2018
