With very rapid growth in technology and complex computing capability, present human civilization largely depend on continuous and updated data for creating and deciding the use of natural resources. Huge growth in population throughout the world for last few hundred years have significantly increased the pressure on mother earth in supporting the pace of human development. In a limited place larger cultivation, living is the prime goal of future existence of human on earth. In this work, we have tried to explore the sensor based computation for analyzing environment, health, pollution etc. related factors and precise cultivation. In contrast to fixed sensor, an ROV designed to collect data from a vivid geographical area in an autonomous manner to supplement the human action with decision support system. A major objective of the work is to explore the low cost, sustainable dynamic data collection system suitable rural to urban application. The system already tested with a variety of sensors over RF as well as GSM network to collect data and control the ROV. Supported by GSM network, the prototype can be operated virtually from any part of the globe. The same system can be deployed as unmanned agent in hazardous positions and grabbing data for analysis like radioactive areas, highly polluted, health degrading environments for scientific analysis and study. The results found during experiment and tests are highly satisfying, including the control and communication ease. Designed prototype of ROV is fully powered by solar energy and maintenance free for continuous field operation.
[1]
Rubens Andre Tabile,et al.
Design and implementation of an electronic architecture for an agricultural mobile robot
,
2010
.
[2]
Katiganere Siddaramappa Hareesha,et al.
Quality Inspection and Grading of Agricultural and Food Products by Computer Vision- A Review
,
2010
.
[3]
Kazunobu Ishii,et al.
Field Automation Using Robot Tractor
,
2002
.
[4]
Tony E Grift,et al.
Variable field-of-view machine vision based row guidance of an agricultural robot
,
2012
.
[5]
Craig A. Woolsey,et al.
Minimum-Time Path Planning for Unmanned Aerial Vehicles in Steady Uniform Winds
,
2009
.
[6]
Albert-Jan Baerveldt,et al.
A vision based row-following system for agricultural field machinery
,
2005
.
[7]
J. A. Marchant,et al.
Tracking of row structure in three crops using image analysis
,
1996
.
[8]
Rinaldo C. Michelini,et al.
Mobile robots in greenhouse cultivation: inspection and treatment of plants
,
2003
.
[9]
Jian Jin,et al.
Coverage path planning on three‐dimensional terrain for arable farming
,
2011,
J. Field Robotics.