drone a assisted fi field i irrigati tion remediati tion
play

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

Feb 16, 2023 •569 likes •796 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

  1. Welcome Drone A Assisted Fi Field I Irrigati tion Remediati tion CSU Agriculture Research Institute Sponsor

  2. 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 Wima mansha Wijeko koon Mechatronic Mechatronic Mechatronic Mechatronic Mechatronic CSU Agriculture Research Institute Sponsor Dr. Ramesh Varahamurti Advisor

  3. 3 The P e Problem 1) Crop yields are negatively impacted through inefficient watering 2) Leads to irregularities in crop growth and financial losses $

  4. 4 The N e Need ed LOWER COST GROW WELL SAVE WATER FIELD MAINTENANCE WATERED CROPS EASILY

  5. 5 Specif Sp ificatio ions Must Do Should Do Maximum altitude of 400 feet Flight time of 12.5 minutes Transmit data to base station wirelessly Transmit distance greater than 1 mile Automatically enable sprinklers based on Flight path and photo locations determined chlorophyll levels by GPS waypoints Photograph to sprinkler response time under 2 minutes

  6. 6 Design gn S Solution on 01 02 03 04 System Setup Data Acquisition Data Processing Watering

  7. 7 Sy System S Setup Mission Planner Flight Path Setup DAFAPP – Setup Screen

  8. 8 Data A a Acquisition & Filter ering NDVI Image Grayscale Image

  9. 9 Data P Proce cessing Zone Mapping Graphical Representation

  10. 10 Water ering Proof of Concept OpenSprinkler

  11. 11 Fabrication on & & Progr gram amming & & the he ho hours spe pent o on n each Fabrication Sprinkler Array • 6 Drone Modifications • Completely Standalone • 600 Programming Complete GUI • Image processing & analysis • Data transmission • Camera control • Drone automation •

  12. 12 Prog ogrammin ing Major d dev evelopmen ent C 1700 LINES OF CODE 300 LINES OF CODE 1400 LINES OF CODE

  13. 13 Prog ogrammin ing Ups ps & D Downs ns  ImageJ Automation issues o  MatLab Smart design choice o Very efficient code o  Camera Control Nonexistent o

  14. 14 Te Testing Qua uantitativ ive S Spe pecif ific icatio ions 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)

  15. 15 Budget get $2706.60 $27,000 DAFIR Engineering Labor DAFM Engineering Labor DAFM Purchased Parts $2150 DAFIR Software Base Station DAFIR Purchased Parts $1142.28 $107,384.70 Contingency $1019.07 $980.93 DAFIR – Drone Assisted Field Irrigation Remediation (Phase 2 – Current) DAFM – Drone Assisted Field Mapping (Phase 1)

  16. 16 Budget get RUNNING Total Project Costs: $142,383.58 TOTAL DONATED $139,676.98 DAFM Purchased Parts $2,706.60 DARM Engineering Labor $27,000.00 $112,676.98 DAFIR Engineering Labor $107,384.70 $5,292.28 $3,142.28 DAFIR Software $2,150.00 Base Station $1,142.28 $2,000.00 SPONSOR FUNDS $2,000.00 DAFIR Purchase Parts $1,0199.07 $980.93 Contingency $980.93 $0.00

  17. 17 Reflec ection on & & Summary Ups ps & D Downs ns What d did w we do w wrong? What d did w we do r right? • Automation of third part software • Met our design requirements • Too many programming • Came in under budget languages

  18. 18 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

  19. 19 Spec ecifi ficati tions ns – Should D Do Quantitative Qualitative Flight path and photo locations Flight time of 12.5 min. Determined by GPS waypoints Have a friend Graphical User Transmit distance of 1 mile Interface (GUI) Photograph to sprinkler Be as off the shelf as possible Response time of 2 min

  20. 20 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

  21. 21 Future P e Proo oof Advanced Programming 01 Thermal Imaging 02 Complete Automation 03

  22. 22 Conclusion on Tha hank nk y you u for your t time Data Watering Acquisition Initialization Data Processing

Recommend

Drone accidents have increased Drone accidents have increased Drone Crashes Through Window Drone

Drone accidents have increased Drone accidents have increased Drone Crashes Through Window Drone

Matthan : Drone Presence Detection by y Id Identifying Physical Sig ignatures in in the Drones RF F Communicati tion Phuc Nguyen , Hoang Truong, Mahesh Ravindranathan, Anh Nguyen, Richard Han, Tam Vu Drone accidents have increased Drone

628 views • 24 slides
E le c tr onic Visit Ve r ific a tion (E VV) Imple me nta tion in Se lf Dir e c tion

E le c tr onic Visit Ve r ific a tion (E VV) Imple me nta tion in Se lf Dir e c tion

E le c tr onic Visit Ve r ific a tion (E VV) Imple me nta tion in Se lf Dir e c tion Mollie Murphy With significant work from Kate Murray and Jane Lawrence May 8 & 9, 2017 Ove r vie w of E VV in T he Cur e s Ac t Cur e s Ac

497 views • 26 slides
Cole s Distric t F ire a nd Re sc ue Sta tion No. 6 Re c onstruc tion Proje c t November 4,

Cole s Distric t F ire a nd Re sc ue Sta tion No. 6 Re c onstruc tion Proje c t November 4,

Princ e Willia m Co unty Cole s Distric t F ire a nd Re sc ue Sta tion No. 6 Re c onstruc tion Proje c t November 4, 2014 Cole s Sta tion No. 6 Re c onstruc tion Purpose Project update and recommendations about Cemetery. Staff

453 views • 20 slides
Au Automated explorati tion of of envelopes anima mati tion n vs explorati tion n - the

Au Automated explorati tion of of envelopes anima mati tion n vs explorati tion n - the

3/3/2020 Au Automated explorati tion of of envelopes anima mati tion n vs explorati tion n - the he necessary dialog between te technolog logie ies Thierry (Noah) Dana-Picard AI4ME Castro Urdiales (Spain) February 2020 1

113 views • 9 slides
Con v ol u tion operator IN TR OD U C TION TO D E E P L E AR N IN G W ITH P YTOR C H Ismail

Con v ol u tion operator IN TR OD U C TION TO D E E P L E AR N IN G W ITH P YTOR C H Ismail

Con v ol u tion operator IN TR OD U C TION TO D E E P L E AR N IN G W ITH P YTOR C H Ismail Ele z i Ph . D . St u dent of Deep Learning Problems w ith the f u ll y- connected ne u ral net w orks Do y o u need to consider all the relations bet

878 views • 35 slides
JACK & JIL L PL AY YARD L a ndma rks Pre se rva tion Committe e Pre se nta tion to

JACK & JIL L PL AY YARD L a ndma rks Pre se rva tion Committe e Pre se nta tion to

JACK & JIL L PL AY YARD L a ndma rks Pre se rva tion Committe e Pre se nta tion to Commisione rs Ma y 7th, 2019 L PC- 19- 38237 Arc hive Photos of Pla y Ya rd - Ma y 1969 Ja c k & Jill Sc hool Pla y Ya rd | 209 E a st 16th Stre

148 views • 14 slides
Sma ll Sc a le E mbe dde d Ge ne ra tion T he Roa d to Approve d Grid Conne c tion in Ca pe T

Sma ll Sc a le E mbe dde d Ge ne ra tion T he Roa d to Approve d Grid Conne c tion in Ca pe T

Sma ll Sc a le E mbe dde d Ge ne ra tion T he Roa d to Approve d Grid Conne c tion in Ca pe T own Nove mbe r 2014 Utility Se rvic e s/ E le c tric ity Se rvic e s/ BJo ne s Cabine t de c ision- 5 Se pte mbe r 2007 2 Go to Insert >

689 views • 50 slides
1 Truth uth-In In-Taxa axation tion Calcula Calculation tion FY 2 FY 2019 019-2020 2020

1 Truth uth-In In-Taxa axation tion Calcula Calculation tion FY 2 FY 2019 019-2020 2020

Harris County Dept. of Education Tax Rate Presentation 1 Truth uth-In In-Taxa axation tion Calcula Calculation tion FY 2 FY 2019 019-2020 2020 Boar Board d Pr Presenta esentation tion Se Sept ptem embe ber r 18 18th th, ,

256 views • 9 slides
TSX: ANX TSX:ANX Productio tion Cash h Flow w Exploratio tion Growth wth A

TSX: ANX TSX:ANX Productio tion Cash h Flow w Exploratio tion Growth wth A

TSX: ANX TSX:ANX Productio tion Cash h Flow w Exploratio tion Growth wth A Growin wing g Gold Pro roducer in in Atlan antic ic Ca Cana nada NOVEMBER 2019 From the ground up Caut autionary ary N Not ote Re

800 views • 33 slides
Mi MicroBooN oBooNE cr cross-se secti tion ons s fr from om an osc oscillati tion ons

Mi MicroBooN oBooNE cr cross-se secti tion ons s fr from om an osc oscillati tion ons

Mi MicroBooN oBooNE cr cross-se secti tion ons s fr from om an osc oscillati tion ons s persp specti tive NUFACT 2017 Xiao Luo, Yale University On behalf of MicroBooNE collaboration 1 Mi Micr croBooNE and and FNA NAL L ne

690 views • 40 slides
Defa u lt arg u ments IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie Co on C u

Defa u lt arg u ments IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie Co on C u

Defa u lt arg u ments IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie Co on C u rric u l u m Architect at DataCamp toss _ coin () tro u bles toss_coin <- function(n_flips, p_head) { coin_sides <- c("head",

745 views • 29 slides
Grain y ields and u nit con v ersion IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie

Grain y ields and u nit con v ersion IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie

Grain y ields and u nit con v ersion IN TR OD U C TION TO W R ITIN G FU N C TION S IN R Richie Co on C u rric u l u m Architect at DataCamp USDA NASS INTRODUCTION TO WRITING FUNCTIONS IN R Corn and w heat Soon these w ill be food Hmm ,

609 views • 34 slides
By J. Bradle By J. Bradley Materi Materick Fiel Field Natural Naturalist st Program

By J. Bradle By J. Bradley Materi Materick Fiel Field Natural Naturalist st Program

C haract ng S oil l C ompacti and D istur cterizing tion on a urbance i e in the F ores est E cos tem M anagem nt D emon tion P roje osyste ement onstr trati ject ct (FEMDP) P) M t. M an sfield R es earch A rea ansf esea ea By J.

545 views • 33 slides
Na vig a tion Re tr ie va l with Site Anc hor T e xt Hide ki KAWAI, Ke nji T AT E ISHI a nd

Na vig a tion Re tr ie va l with Site Anc hor T e xt Hide ki KAWAI, Ke nji T AT E ISHI a nd

Na vig a tion Re tr ie va l with Site Anc hor T e xt Hide ki KAWAI, Ke nji T AT E ISHI a nd T oshikazu F UKUSHIMA NE C Inte r ne t Syste ms Re se ar c h L abs. 1 Introduc tion Na vig a tion Re trie va l T a sk in NT CIR- 4

584 views • 14 slides
Appen Appendix ix B - B - R Rt. 3 . 33 R Recrea eatio tion F Fiel eld, d, Po Portsmo

Appen Appendix ix B - B - R Rt. 3 . 33 R Recrea eatio tion F Fiel eld, d, Po Portsmo

Appen Appendix ix B - B - R Rt. 3 . 33 R Recrea eatio tion F Fiel eld, d, Po Portsmo smouth, th, N NH Syn Synthe heti tic Tu c Turf I Infill O Opti tion ons Estimated Rt. 33 Field Annual Synthetic Turf Cost Cost / S.F.

704 views • 31 slides
WHO O WE ARE RE Solutio tion Provider er Innovatio tion Par artner er Airline lines

WHO O WE ARE RE Solutio tion Provider er Innovatio tion Par artner er Airline lines

WHO O WE ARE RE Solutio tion Provider er Innovatio tion Par artner er Airline lines Post ost-Book ooking ing COVI VID Throug ough Accele lerate Progr ogram am 12 people le Bas ased ed in Par aris #Rev evenu nueMa

536 views • 18 slides
COMPANY ANY PR PRESENT SENTATION TION since 1972 Y/2019 Q1 Q1 DI DIST STRIBUTI TION

COMPANY ANY PR PRESENT SENTATION TION since 1972 Y/2019 Q1 Q1 DI DIST STRIBUTI TION

48 . COMPANY ANY PR PRESENT SENTATION TION since 1972 Y/2019 Q1 Q1 DI DIST STRIBUTI TION RESTR TRICTI TION ON: Approved for public release ; Distribution is unlimited. NO FILTER ASAS FILTER ASAS AS FILTE TER Agricultural

511 views • 17 slides
stem innovati tion eco cosy syste DAAD DAAD Worksh shop p Coope perati tion at t Aca

stem innovati tion eco cosy syste DAAD DAAD Worksh shop p Coope perati tion at t Aca

Towards ds a a rese search ch and d te tech chnology gy ba base sed d stem innovati tion eco cosy syste DAAD DAAD Worksh shop p Coope perati tion at t Aca cade demic c Informati tics cs Edu duca cati tion acr cross

551 views • 16 slides
Roa d E le va tion Stra te g y a nd Ne ig hborhood Proje c t Prioritiza tion Ja nua ry 21, 2020

Roa d E le va tion Stra te g y a nd Ne ig hborhood Proje c t Prioritiza tion Ja nua ry 21, 2020

Roa d E le va tion Stra te g y a nd Ne ig hborhood Proje c t Prioritiza tion Ja nua ry 21, 2020 Me e ting Outline Purpo se Ja c o b s is fina lizing the ir re c o mme nda tio ns Our te a m is he re to liste n Use c o mme

612 views • 48 slides
Pr Prop oper erty ty Tax ax Ded Deduc ucti tion ons s an and Ex d Exem empti tion

Pr Prop oper erty ty Tax ax Ded Deduc ucti tion ons s an and Ex d Exem empti tion

De Depar artm tmen ent t of of Lo Loca cal l Go Gover ernm nmen ent t Fi Fina nanc nce Pr Prop oper erty ty Tax ax Ded Deduc ucti tion ons s an and Ex d Exem empti tion ons Emily Crisler Deputy General Counsel

2.01k views • 156 slides
KIP 2300 High Pr oduc tion Sc anne r KIP 2300 High Pr oduc tion CCD Sc anne r Inc r e dible

KIP 2300 High Pr oduc tion Sc anne r KIP 2300 High Pr oduc tion CCD Sc anne r Inc r e dible

KIP 2300 High Pr oduc tion Sc anne r KIP 2300 High Pr oduc tion CCD Sc anne r Inc r e dible ve r satility Maximum pr oduc tivity Outstanding image quality Compe titive ly supe r ior Ke y F e atur e s Dir e c t c onne c tion to KIP

317 views • 20 slides
LE LEGAL L COM OMPEN PENSATION TION 2 016 P R E S E N TAT I O N F O R F Y 2 017 B U D G

LE LEGAL L COM OMPEN PENSATION TION 2 016 P R E S E N TAT I O N F O R F Y 2 017 B U D G

LE LEGAL L COM OMPEN PENSATION TION 2 016 P R E S E N TAT I O N F O R F Y 2 017 B U D G E T GE GENER ERAL L IN INFORMA ORMATION TION This presentation will focus on reviewing the salary ranges for attorney positions in the

514 views • 23 slides
GNETS ETS Profes ession onal al Quali lifica cati tion ons & I In-Field eld under

GNETS ETS Profes ession onal al Quali lifica cati tion ons & I In-Field eld under

Richard Woods, Georgias School Superintendent Educating Georgias Future gadoe.org GNETS ETS Profes ession onal al Quali lifica cati tion ons & I In-Field eld under er the Every ery Stude udent nt Succe ceeds eds

1.03k views • 55 slides
INTEGRA RATED SAMPLE LE T TRA RANSPORTATI TION AND OP OPTIMISATI TION IN Z ZIMBAB ABWE:

INTEGRA RATED SAMPLE LE T TRA RANSPORTATI TION AND OP OPTIMISATI TION IN Z ZIMBAB ABWE:

INTEGRA RATED SAMPLE LE T TRA RANSPORTATI TION AND OP OPTIMISATI TION IN Z ZIMBAB ABWE: THE LE LESS SSONS Raiva Simbi MOHCC DLS Zimbabwe Outl tline Integrated Sample Transportation Optimization Integration of

493 views • 24 slides

More recommend