Drone A Assisted Fi Field I Irrigati tion Remediati tion CSU - - PowerPoint PPT Presentation

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Drone A Assisted Fi Field I Irrigati tion Remediati tion CSU - - PowerPoint PPT Presentation

Feb 16, 2023 569 likes •799 views

Welcome Drone A Assisted Fi Field I Irrigati tion Remediati tion CSU Agriculture Research Institute Sponsor 2 Mee eet T t The e Team Olga L a Leal al Lui uis V Vazqu quez Ryan Er Ry Erb Bria ian Fr n Frede denbe berg Wi

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Drone A Assisted Fi Field I Irrigati tion Remediati tion

CSU Agriculture Research Institute

Sponsor

Welcome

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2

Mee eet T t The e Team

Bria ian Fr n Frede denbe berg

Mechatronic

Lui uis V Vazqu quez

Mechatronic

Wi Wima mansha Wijeko koon

Mechatronic

Olga L a Leal al

Mechatronic

Ry Ryan Er Erb

Mechatronic

CSU Agriculture Research Institute

Sponsor

  • Dr. Ramesh Varahamurti

Advisor

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3

The P e Problem

1) Crop yields are negatively impacted through inefficient watering 2) Leads to irregularities in crop growth and financial losses

$

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4

The N e Need ed

SAVE WATER

LOWER COST FIELD MAINTENANCE

GROW WELL WATERED CROPS EASILY

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5

Sp Specif ificatio ions

Must Do Should Do

Maximum altitude of 400 feet Transmit data to base station wirelessly Automatically enable sprinklers based on chlorophyll levels Flight time of 12.5 minutes Transmit distance greater than 1 mile Flight path and photo locations determined by GPS waypoints Photograph to sprinkler response time under 2 minutes

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6

Design gn S Solution

  • n

01

System Setup Data Acquisition

02 03

Data Processing

04

Watering

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7

Sy System S Setup

DAFAPP – Setup Screen Mission Planner Flight Path Setup

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8

Data A a Acquisition & Filter ering

NDVI Image Grayscale Image

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9

Data P Proce cessing

Zone Mapping Graphical Representation

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10

Water ering

OpenSprinkler Proof of Concept

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11

Fabrication

  • n &

& Progr gram amming

Fabrication Programming

600

6

& & the he ho hours spe pent o

  • n

n each

  • Sprinkler Array
  • Drone Modifications
  • Completely Standalone
  • Complete GUI
  • Image processing & analysis
  • Data transmission
  • Camera control
  • Drone automation
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12

Major d dev evelopmen ent

Prog

  • grammin

ing

C

1700 LINES OF CODE 300 LINES OF CODE 1400 LINES OF CODE

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13

Ups ps & D Downs ns

Prog

  • grammin

ing

  • ImageJ
  • Automation issues
  • MatLab
  • Smart design choice
  • Very efficient code
  • Camera Control
  • Nonexistent
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14

Qua uantitativ ive S Spe pecif ific icatio ions

Te Testing

Test Procedures Target Values Tested Values Altitude Test No higher than 400 feet Passed Data Transfer Range 1 Mile 1.1 Miles Flight Time At least 12.5 minutes 6.34 Minutes Response Time Under 2 minutes 1:55 (m:ss)

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15

Budget get

DAFIR Engineering Labor DAFM Engineering Labor DAFM Purchased Parts DAFIR Software Base Station DAFIR Purchased Parts Contingency

$2706.60 $2150 $1142.28 $1019.07 $980.93 $107,384.70 $27,000 DAFIR – Drone Assisted Field Irrigation Remediation (Phase 2 – Current) DAFM – Drone Assisted Field Mapping (Phase 1)

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Budget get

DONATED

Total Project Costs: $142,383.58

SPONSOR FUNDS RUNNING TOTAL

DAFM Purchased Parts DARM Engineering Labor DAFIR Engineering Labor DAFIR Software Base Station $2,706.60 $27,000.00 $107,384.70 $2,150.00 $1,142.28 $139,676.98 $112,676.98 $5,292.28 $3,142.28 $2,000.00 $2,000.00 DAFIR Purchase Parts Contingency $1,0199.07 $980.93 $980.93 $0.00

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What d did w we do w wrong? What d did w we do r right?

Ups ps & D Downs ns

Reflec ection

  • n &

& Summary

  • Automation of third part software
  • Too many programming

languages

  • Met our design requirements
  • Came in under budget
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Spec ecifi ficati tions ns – Must Do t Do

Quantitative Qualitative

Maximum altitude of 400 ft. Wirelessly transmit data Have base station Turn on specific sprinklers automatically base on chlorophyll levels

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Spec ecifi ficati tions ns – Should D Do

Quantitative Qualitative

Flight time of 12.5 min. Flight path and photo locations Determined by GPS waypoints Transmit distance of 1 mile Have a friend Graphical User Interface (GUI) Photograph to sprinkler Response time of 2 min Be as off the shelf as possible

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Spec ecifi ficati tions ns – Woul uld Be Be Ni Nice ce

Quantitative Qualitative

Data logging Green comparative watering time duration Autonomous sequence start from base station Graphical representation of data

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21

Future P e Proo

  • of

Advanced Programming Thermal Imaging Complete Automation

01 02 03

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22

Tha hank nk y you u for your t time

Conclusion

  • n

Initialization Data Acquisition Data Processing Watering