AUTONOMOUS AGRICULTURAL DISEASE DETECTING AND SPRAYING ROBOT

Project Title

AUTONOMOUS AGRICULTURAL DISEASE DETECTING AND SPRAYING ROBOT

Project Area of Specialization RoboticsProject Summary The aim of this project is to make a robot on autonomous agricultural disease detecting and spraying robot which has a capability of detecting diseases in crops and plants and spraying with respect to it, and It can also pluck weeds by the help of image processing and with the robotic arm which will be placed under the robot. An agriculture robot with deep learning techniques and computer vision technology will help to provide protection of crops and plants against harmful Bacteria and diseases. Our vision is making a robot that can easily and precisely detect the diseases and starts to spray the crops with the help of image processing through deep learning algorithms it will work more accurately than a normal farmer. Not just detecting diseases, it will also do the multitasking as the field is not easy for robots to work, it will avoid any obstacle and also prevent from falling. The working principle of this robot is also based on Wi-Fi module by which the owner or even can a farmer use it to control the robot or can watch to see where and what the robot is currently working in the field. Project Objectives We want to make a robot that can help the needs of farmers and landlords with our vision it can perform multiple works, for instance, it can detect the disease from crops and plants with the help of image processing and will spray on that particular area. It can also pluck the weed. The robot is made stronger to walk around the field by making the body rigid and highly grip tire to walk around the field. The field is not easy for a robot to walk around so it is also capable of obstacle avoidance and prevent it from falling. The responsibility of controlling and managing the plant growth from early stage to mature harvest stage involve monitoring and identification of plant disease, controlled irrigation and controlled use of pesticides. The proposed work explores the technology of wireless sensors for remote real time monitoring of vital farm parameters like humidity, environmental temperature and moisture content of the soil. We also employ the technique of image processing for vision based automatic disease detection on plant leaves. Thus, this paper vigorously describes the design and construction of an autonomous mobile robot featuring plant disease detection, growth monitoring and spraying mechanism for pesticide. To realize this work we provide a compact, portable and well-founded platform that can survey the farm land automatically and also can identify disease and can examine the growth of the plant accordingly spray pesticide. This approach will help framers make right decisions by providing real time information about the plant and it’s environment using fundamental principles of internet, sensor’s technology and image processing. Project Implementation Method The implementations of this project are that we will do are, we will do image processing for detecting disease, obstacle avoidance, fall avoidance, and detecting weeds from crops. In this project we are using three robotic arms, the two arms on the left and right will spray pesticides on crops and third arm will pluck the weeds.  The on-board microprocessor controls all of the inputs and outputs of the system. The software running on the processor is the common C and C++ language. Extra libraries and functions have been added to the original C language that are specific to the microprocessor. Of particular notice is the multi-tasking functions. Both the Preemptive multitasking and Cooperative multitasking is available. Pre-emptive, being the ability to time slice the program code so that many processors can be sharing the processor time to make it seem like the processes are running at the same time. in the Cooperative multitasking environment, each process voluntarily passes control to the other processes. usually done while waiting for something to happen.  Benefits of the Project The idea of applying the robotics technology in the agriculture is very new, In the agriculture, the opportunities for the robot-enhanced productivity are immense and the robots appear on the farms in various guises and in increasing numbers. You can expect the robots performing the agricultural operations autonomously such as the spraying and the mechanical weed control, the fruit picking, allowing the farmers to reduce the environmental impact, increase the precision and efficiency, and manage individual plants in novel ways. The robotics are spreading every day to cover further domains, as the chance of replacing the human operators provides the effective solutions with return on the investment, the robotics do the difficult tasks that are harmful to the health of the workers, So, they offer the safety for the workers. The robots can protect the human workers from the harmful effects of handling the chemicals of the hand and through the system of high spraying, and they can reduce up to 80% of a farm use of pesticides. The robots in the agricultural industry offer the highest quality of fresh produce, lower production costs, and the smaller need for the manual labor, They can be used to automate the manual tasks such as the weed or the bracken spraying where the use of tractors and the other manned vehicles is too dangerous for the operators. Technical Details of Final Deliverable We are using solar energy to charge robot and its batteries and this robot can climb and move on any untrodden path with the help of heavy chases. This robot can detect any obstacle and avoid it with the help of image processing, and it will also avoid falling. And we will also use microcontrollers in this project. Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries Health Core Technology RoboticsOther Technologies Artificial Intelligence(AI), Internet of Things (IoT), OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
raspberry pi 4	Equipment	1	8000	8000
arduino uno	Equipment	4	750	3000
Raspberry Pi 5MP 1080P Camera Noir Module	Equipment	1	5000	5000
rover 5 tankchassis kit	Equipment	1	8500	8500
MG996R DS3115 6 D000000000000000000OF Robot Metal Alloy Mechanical Arm	Equipment	3	12000	36000
nrf modules	Equipment	2	850	1700
esp32 wifi modue	Equipment	1	1450	1450
Arduino Joystick Module	Equipment	2	150	300
relay module	Equipment	1	150	150
Arduino Sensor Shield	Equipment	1	700	700
motor driver	Equipment	1	300	300
acoustic sensor	Equipment	1	150	150
thesis	Miscellaneous	5	1000	5000
FYP poster	Miscellaneous	1	2000	2000
research paper	Miscellaneous	5	600	3000
wires	Equipment	200	5	1000
batteries	Equipment	10	200	2000
small solar plat	Equipment	1	1750	1750