AGRIBOT

Pakistan is agricultural country and its economic sustainability is highly associated with the growth of agriculture sector. However, Pakistan is a densely populated country and with the passage of time area for agricultural land is shrinking. On the hand the demand for vegetables and fruits is risi

2025-06-28 16:25:01 - Adil Khan

Project Title

AGRIBOT

Project Area of Specialization Artificial IntelligenceProject Summary

Pakistan is agricultural country and its economic sustainability is highly associated with the growth of agriculture sector. However, Pakistan is a densely populated country and with the passage of time area for agricultural land is shrinking. On the hand the demand for vegetables and fruits is rising exponentially to meet the nutritional requirements for such large ensemble of population. In order to cope with the rising demands of vegetables and fruits it is necessary to adopt modern farming techniques for high yield production. Farm automation is one of the modern farming techniques that provides controlled environment for high-yield crops in relatively. However, the lack of technical skills and inability to maintain pest free crop in farms results in significant loss in crop yield.   Therefore, there is a rising demand of highly accurate system that will spray only the weeds for the desired production goals and using less amount of spray as compared to traditional methods. In this project we will design a solar-powered agricultural robot (AgriBot) that will automate the spraying in farms. The AgriBot will facilitate the farmers in many aspects i.e. seeding, fertilizing and pest control.

Project Objectives

The main objective of the proposed project is to build a precise system which will differentaite between the weeds and the crop and will detect the weeds for a specific crop and spray pesticide where there is weed detected. The project objectives are divided into two phases, Software part an dthe Hardware part.

Software Part:

In the software part the objective is to build a system capable of taking runtime video of a specific crop/land and to process it and detect the weeds frame by frame.

Hardware Part:

In the Hardware part the objectve is to build a robot operable in muddy terrains i.e fields/crops.

Project Implementation Method

PROJECT IMPLEMENTATION:

The project Implementation is also divided into two categories the software part and the hardware part.

Software Part:

  1. For the weed detection we need the labelled data or images for the model training, for this purpose videos or images of the specific crop and weed are required.
  2. After gathering the data the images are labeled using labelling tools.
  3. Then the model is trained using the Darknet Framework and the mAP (Mean Average Precision) is checked.
  4. The Object detection requirements are installed on Raspberry Pi for real time object Detection.
  5. PCBs are to be designed for the Motor Drivers which can bear current upto 5Amp.
  6. Programming of the Aurduino UNO for controlling the ROBOT via Bluetooth.
  7. Designing of the body of the ROBOT.

Hardware Part:

  1. Fabrication of the PCBs.
  2. Completing the PCBs.
  3. Fabrication of the body of ROBOT.

After all these steps are complete then the turn is to assembe the AGRIBOT which includes completing the connections and the testing of the AGRIBOT.

Benefits of the Project

BENIFITS OF THE PROJECT:

  1. Efficent and precise use of the pesticides which will help decrease the import of pesticides.
  2. Enhancing the crop growth by killing the weeds which take the essential nutrients from the soil needed for betetr plant growth.
  3. Farm automation results in high yield of crops and less labour involvement which will surely help the farmers financially.
Technical Details of Final Deliverable

The final Deliverable will be a solar as well as battery operated robot capable of opearting in muddy terrains. It will also differentiate between specific crop and the weeds and also spray pesticides on weeds.

Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries Food Core Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Decent Work and Economic GrowthRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 48580
Raspberry Pi 4 8gb Equipment11800018000
Arduino UNO Equipment1600600
HC 05 Equipment1500500
Lipo Battery 2200 mAH Equipment125002500
Buck Convertor Equipment1500500
Pi camera 5mp Equipment1700700
PCB Fabrication Equipment2600012000
rs 775 motor Equipment26501300
2n222 Equipment42080
irf240 Equipment450200
irf6420 Equipment450200
immersible water pump Equipment1500500
spraying nozzle and pipe Equipment1200200
12v 200mAh mini Solar Panel Equipment130003000
Relay Equipment1200200
wheels Equipment4150600
Free wheel Brackets Equipment2150300
20 gauged iron pipe (20 feet) Equipment112001200
Welding and Fabrication Works Miscellaneous 130003000
Printing, stationary and overheads Miscellaneous 130003000

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