No abstract

In various sectors such as defense and mining, existing Unmanned Ground Vehicle (UGV) applications face specific limitations, including the inability to achieve wide- range control and operate in dark environments. To mitigate human risks and reduce human involvement in bomb disposal operations, the need for UGVs has become crucial. In this context, we propose a model/framework that utilizes gas and temperature sensors to detect environmental conditions. Our framework aims to enhance UGV applications by incorporating wide-range Wi-Fi enabled control devices and night mode camera functionality. This enables rapid object detection over a greater distance and emphasizes remote control through a mobile application. As a result, the proposed system automates the process of bomb disposal, thereby reducing human risks involved in such operations.

Sericulture or Silk Farming is the cultivation of Silkworms to produce silk. India is the second largest producer of silk in the world after China. Directly or indirectly sericulture provides employability to more than 10 lakh people in India. Karnataka st contributes more production of silk in India. Silkworm seed production is important in increasing the quantity of silk production. Grainage are used for the production of large quantity of the Silkworm eggs. Counting of silkworm eggs is necessary to a to silkworm egg producers and farmers. Present methods of counting of Silkworm eggs such as manual counting is waste of time and it requires lot of man power , other method such as calculator causes harm to the eggs because of its needle. Silkw production is adversely effected by the humidity and temperature of the environment. Silkworm undergoes various changes in its lifecycle so it requires some automation to continuously monitor the growth of silkworm to increase the quality and quantity silkworm. Hence automatic methods such as digital image processing techniques are used to count the number of eggs to avoid loss to the sericulturists and farmers. This paper presents the various image processing and IOT techniques used to monitor a obtain the silkworm egg count.

No abstract

The advancement of wireless communications andintegrated circuit technology has enabled the development of lowcost sensor networks. The sensor networks can be used for various application areas like disaster recovery, health, military, homeland security, environment, home, etc •. For each application area, there are different technical issues that researchers are currently resolving. However, many of them are trying to tackle the limitations of this field from a network perspective. Sometimes, the effectiveness of some proposed approaches must be complemented by the supports of hardware design. This article points out the possibilities of overcoming the same problem set from a device perspective by taking advantage of the merits of nanotechnologies. At the same time, open research issues and challenges are identified to spark new interests and developments in this field.