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Robotics based irrigation system
1. Robotics Based Irrigation System
Students Name:
Ahmed Hassan (BEEM-F16-010)
Umer Farooq (BEEM-F16-003)
H.M.Abdullah (BEEM-F16-013)
Adil Shahzad (BEEM-F16-055)
Supervisor: Engr. Faisal Haider Paracha
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Department of Electrical Engineering
2. Project Outline
1. Introduction
2. Existing Technique
3. Problem Statement
4. Proposed Block Diagram
5. Deliverables & Objectives
6. Project Work Flow
7. References
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Department of Electrical Engineering
3. Introduction
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Our proposed Robotics based Irrigation System will be:
Solar Powered
Remotely Controlled (Mobile Application)
Crop Health/Growth Analysis (High Resolution
Camera)
Distributed Irrigation Field
5. Existing Methods
Sr
no.
Technique Working Principle
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2
Localized
Irrigation
Sub-Irrigation
Localized irrigation is a method of
applying water that results in wetting only
a small area of the soil surface and
sometimes only part of the root zone.
The method of sub-irrigation where
water is delivered to the plant root zone.
The excess may be collected for re-use.
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6. Existing Methods
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4
Drip
Irrigation
Manual
Irrigation
Drip irrigation system has the potential to save
water and nutrients by allowing water to drip slowly
to the roots of plants.
Manual irrigation systems are easy to handle,
require no technical equipment.
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7. Problem Statement
• Water Usage is out of Control
• Crops Take Care/Health/Protection
• There is no method to Fertilize the Crops Remotely
• Only Irrigate a Limited Area at a Time-Remotely.
• No Existing Implemented Technology to sense the
whole field at a time, through sensors.
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Department of Electrical Engineering
9. Deliverables and Objectives
To develop a system which :
Irrigates the maximum amount of field as much as
we want (remotely) .
To capture the condition of crops through camera.
To add the soil nutrients through irrigation pipe line.
To spray the field that kills pesticides/insects.
Is robotics based.
Develop an app along with GSM module.
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10. Workflow
Phase 1
• Proposal /Concept
Phase 2
• Detail study / Implementation
Phase 3
• Software(100%)
Phase 4
• Hardware(100%)
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11. References
[1] N. Singh and A. Shaligram, "D. NPK Measurement in Soil and Automatic Soil Fertilizer
Dispensing Robot," International Journal of Engineering Research & Technology, vol. 3, no.
7, pp. 635-637, 2014.
[2] Y. Kulkarni, K. K. Warhade, and S. Bahekar, "Primary nutrients determination in the soil
using UV spectroscopy," International Journal of Emerging Engineering Research and
Tecnology, vol. 2, pp. 198-204, 2014.
[3] D. Q. Huo et al., "Recent Advances on Optical Detection Methods and Techniques for
Cell-based Microfluidic Systems," Chinese Journal of Analytical Chemistry, vol. 38, no. 9,
pp. 1357-1365, 2010.
[4] L. C. Gavade, "Detection of N, P, Kusing Fiber Optic Sensor and PIC Controller,"
International Journal of Engineering Science, vol. 13787, 2017.
[5] D. V. Ramane, S. S. Patil, and A. Shaligram, "Detection Of Npk Nutrients Of Soil Using
Fiber Optic Sensor," in International Journal of Research in Advent Technology (E-ISSN:
2321-9637) Special Issue National Conference “ACGT, 2015, pp. 13-14.
[6] A. Rashid, "LED Based Soil Spectroscopy," Buletin Optik 2016, no. 3, pp. 1-7, 2016.
[7] D. A. Skoog, D. M. West, F. J. Holler, and S. R. Crouch, Fundamentals of Analytical
Chemistry. Cengage Learning
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Department of Electrical Engineering