Weeds are tenacious and remarkable problem in agricultural field all across Pakistan . Weeds fight with crops for basic resources like water ,light and nutrients which badly reduces the crop yield. Also the agricultural production is badly affected due to the rapid increase in population which
Autonomous Agricultural Field Robot
Weeds are tenacious and remarkable problem in agricultural field all across Pakistan . Weeds fight with crops for basic resources like water ,light and nutrients which badly reduces the crop yield. Also the agricultural production is badly affected due to the rapid increase in population which will become over 380 millions by 2050. This huge increase in population of Pakistan requires drastic measures and precision agricultural practices to meet the population's food needs .The farmers are facing problems like environmental effect, labor shortage, infertility, and soil erosion. Traditional agricultural practices used for weed control including chemical treatment and manual weeding are costly, time consuming, inefficient and unfriendly for the environment.
Nowadays, there is trend of using more advance and technological methods for solving agriculture related problems. Agricultural field robot is recognized to be one of the technologies that could play a vital role in accomplishing long-lasting agricultural production while reducing impact on the environment.
The latest technology in the form of robot operating system (ROS) along with different computer vision algorithms will be used for controlling, simulations and real time visualization of the robot.
The objectives of this project is to present the solution over the traditional way of treating agricultural weeds by the implementation of Agricultural and autonomous systems and outline the potential for future applications. Different applications of autonomous vehicles in agriculture have been examined and compared with conventional systems, where three main groups of field operations have been identified to be the first potential practical applications: crop establishment, plant care and selective harvesting.
Our aim is to fabricate a Prototype Multi-Purpose Agricultural Robot which can perform the following functions:
Moreover we will give examples of the economic potential of applying autonomous robotic vehicles compared to conventional systems. Focus will be put on potential labor cost savings, farm structure implications and sizes for operation, daily working hours, potential environmental impact, energy costs and safety issues.
The 1st step is to design the model in solid works.The CAD model will be imported into ROS's Gazebo simulator to develop and test the developed control software on it.
After designing and testing the CAD model, we will physically develop a physical prototype in the Department's workshop.
The friction has great impact on the performance of robot therefore the wheels selection will be such that to minimize the friction between tires and field.
The wheels having larger width and irregular dimensions may damage the crops therefore the wheels selection will be such lessen that effect.
The tires having tubes are susceptible to puncturing if the field contain needles etc therefore to avoid such incident we will favor tubeless tires for our robot.
The motor will create problems if it is not properly align with or mounted on the mechanical design therefore to avoid such problems we will select the suitable sized motors that will properly fit in the design.
The torque produces by the motors dependent upon the weight of the design therefore we will select motors that will generate sufficient amount of torque for the desired weight.
We will be using cameras and sensors of different specifications for the purpose to detect weeds and rows in the field and measuring the pressure of fluid respectively.
Once we simulate the model in gazebo simulator then we can apply it on the robot practically.
(1) a mobile robot with adequate payload and processing capability for agricultural scouting and monitoring.
(2) A vision system to enable the robot to detect crops and weeds.
(3) A navigation system that allows the robot to navigate in the field in one of the three modes: (i) tele-operated, (ii) semi-autonomous, (iii) autonomous.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Workshop Fabricartion | Equipment | 4 | 3000 | 12000 |
| wheels | Equipment | 4 | 1000 | 4000 |
| motors with encoders | Equipment | 2 | 10000 | 20000 |
| solar panel | Equipment | 1 | 12000 | 12000 |
| battery | Equipment | 1 | 9000 | 9000 |
| raspberry pi | Equipment | 1 | 10000 | 10000 |
| cameras | Equipment | 1 | 3000 | 3000 |
| painting | Miscellaneous | 1 | 5000 | 5000 |
| labor work | Miscellaneous | 1 | 5000 | 5000 |
| Total in (Rs) | 80000 |
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