African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6653

Full Length Research Paper

Use of unmanned aerial vehicles (UAV) as an innovation in agriculture

Eduardo Cornejo-Velazquez
  • Eduardo Cornejo-Velazquez
  • Institute of Basic Sciences and Engineering, Autonomous University of the Hidalgo State, Pachuca, Hidalgo, Mexico.
  • Google Scholar
Hugo Romero-Trejo
  • Hugo Romero-Trejo
  • Institute of Basic Sciences and Engineering, Autonomous University of the Hidalgo State, Pachuca, Hidalgo, Mexico.
  • Google Scholar
Otilio-Arturo Acevedo-Sandoval
  • Otilio-Arturo Acevedo-Sandoval
  • Institute of Basic Sciences and Engineering, Autonomous University of the Hidalgo State, Pachuca, Hidalgo, Mexico.
  • Google Scholar
Alfredo Toriz-Palacios
  • Alfredo Toriz-Palacios
  • Department of Strategic Planning and Technology Direction, Autonomous Popular University of the State of Puebla, Puebla, Mexico.
  • Google Scholar
Mireya Clavel-Maqueda
  • Mireya Clavel-Maqueda
  • Department of Strategic Planning and Technology Direction, Autonomous Popular University of the State of Puebla, Puebla, Mexico.
  • Google Scholar


  •  Received: 28 July 2020
  •  Accepted: 07 October 2020
  •  Published: 31 December 2020

References

Barrero O, Perdomo SA (2018). RGB and multispectral UAV image fusion for Gramineae weed detection in rice fields. Precision Agriculture pp. 1-14. 
Crossref

 

Bayala J, Zougmoré R, Dayamba SD, Olivier A (2017). Editorial for the Thematic Series in Agriculture and Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences. Agriculture and Food Security 6(1):40. 
Crossref

 

Berni J, Zarco-Tejada PJ, Sepulcre-Cantó G, Fereres E, Villalobos F (2009a). Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment 113(11):2380-2388. 
Crossref

 

Berni J, Zarco-Tejada PJ, Suarez L, Fereres E (2009b). Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle. IEEE Transactions on Geoscience and Remote Sensing 47(3):722-738.
Crossref

 

Burkart A, Hecht VL, Kraska T, Rascher U (2018). Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution. Precision Agriculture 19(1):134-146. 
Crossref

 

Domingues FM, Bartholomeus H, Van Apeldoorn D, Suomalainen J, Kooistra L (2017). Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 17(6):1428. 
Crossref

 

Frankelius P, Norman C, Johansen K (2017). Agricultural Innovation and the Role of Institutions: Lessons from the Game of Drones. Journal of Agricultural and Environmental Ethics pp. 1-27.
Crossref

 

Handique BK, Khan AQ, Goswami C, Prashnani M, Gupta C, Raju PLN (2017). Crop Discrimination Using Multispectral Sensor Onboard Unmanned Aerial Vehicle. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 87(4):713-719. 
Crossref

 

Hirsch JE (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America 102(46):16569-16572.
Crossref

 

Honkavaara E, Saari H, Kaivosoja J, Pölönen I, Hakala T, Litkey P, Pesonen L (2013). Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sensing 5(10):5006-5039. 
Crossref

 

Hovhannisyan T, Efendyan P, Vardanyan M (2018). Creation of a digital model of fields with application of DJI phantom 3 drone and the opportunities of its utilization in agriculture. Annals of Agrarian Science 16(2):177-180. 
Crossref

 

Huang Y, Hoffmann WC, Lan Y, Wu W, Fritz BK (2009). Development of a Spray System for an Unmanned Aerial Vehicle Platform. Applied Engineering in Agriculture 25(6):803-809.
Crossref

 

Hunt ER, Hively WD, Fujikawa S, Linden D, Daughtry CS, McCarty G, McCarty GW (2010). Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring. Remote Sensing 2(1):290-305. 
Crossref

 

Hunt ER, Horneck DA, Spinelli CB , Turner RW, Bruce AE, Gadler DJ, Brungardt JJ, Hamm PB (2018). Monitoring nitrogen status of potatoes using small unmanned aerial vehicles. Precision Agriculture 19(2):314-333. 
Crossref

 

Huuskonen J, Oksanen T (2018). Soil sampling with drones and augmented reality in precision agriculture. Computers and Electronics in Agriculture 154:25-35. 
Crossref

 

Kamilaris A, Prenafeta-Boldú FX (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture 147:70-90. 
Crossref

 

Khan Z, Rahimi-Eichi V, Haefele S, Garnett T, Miklavcic SJ (2018). Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging. Plant Methods 14(1):20.
Crossref

 

Krienke B, Ferguson RB, Schlemmer M, Holland K, Marx D, Eskridge K (2017). Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor. Precision Agriculture 18(6):900-915. 
Crossref

 

Laliberte AS, Goforth MA, Steele CM, Rango A, Goforth MA, Rango A (2011). Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments. Remote Sensing 3(11):2529-2551. 
Crossref

 

Lammoglia SK, Brun F, Quemar T, Moeys J, Barriuso E, Gabrielle B, Mamy L (2018). Modelling pesticides leaching in cropping systems: Effect of uncertainties in climate, agricultural practices, soil and pesticide properties. Environmental Modelling and Software. 
Crossref

 

Lary DJ, Zewdie GK, Liu X, Wu D, Levetin E, Allee RJ, Aurin D (2018). Machine Learning Applications for Earth Observation. In Earth Observation Open Science and Innovation (pp. 165-218). Cham: Springer International Publishing. 
Crossref

 

Lelong C, Burger P, Jubelin G, Roux B, Labbé S, Baret F, Baret F (2008). Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots. Sensors 8(5):3557-3585. 
Crossref

 

Maru A, Berne D, Beer JD, Ballantyne P, Pesce V, Kalyesubula S, Chaves J (2018). Digital and Data-Driven Agriculture: Harnessing the Power of Data for Smallholders. F1000Research 7(525). 

View

 

Martínez J, Egea G, Agüera J, Pérez-Ruiz M (2017). A cost- effective canopy temperature measurement system for precision agriculture: a case study on sugar beet. Precision Agriculture 18(1):95-110. 
Crossref

 

Mazur M, Wisniewski A, McMillan J (2016). Clarity from above. PwC Global Report on the Commercial Applications of Drone Technology. PwC Poland P 4.

 

Mulla DJ (2013). Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosystems Engineering 114(4):358-371. 
Crossref

 

Oldeland J, Große SA, Naftal L, Strohbach BJ (2017). The Potential of UAV Derived Image Features for Discriminating Savannah Tree Species. In The Roles of Remote Sensing in Nature Conservation. Cham: Springer International Publishing.
Crossref

 

Pallottino F, Biocca M, Nardi P, Figorilli S, Menesatti P, Costa C (2018). Science mapping approach to analyze the research evolution on precision agriculture: world, EU and Italian situation. Precision Agriculture pp. 1-16. 
Crossref

 

Perianes-Rodriguez A, Waltman L, Van Eck NJ (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics 10(4):1178-1195. 
Crossref

 

Rupnik R, Kukar M, Vračar P, Košir D, Pevec D, Bosnić Z (2018). AgroDSS: A decision support system for agriculture and farming. Computers and Electronics in Agriculture. 
Crossref

 

Schut AGT, Traore PCS, Blaes X, De By RA (2018). Assessing yield and fertilizer response in heterogeneous smallholder fields with UAVs and satellites. Field Crops Research 221:98-107. 
Crossref

 

Singh R, Singh GS (2017). Traditional agriculture: a climate-smart approach for sustainable food production. Energy, Ecology and Environment 2(5):296-316. 
Crossref

 

Thomas S, Kuska MT, Bohnenkamp D, Brugger A, Alisaac E, Wahabzada M (2018). Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective. Journal of Plant Diseases and Protection 125(1):5-20. 
Crossref

 

Thomson R (2018). Web of Science. Thomson Reuters. 

 

Turner D, Lucieer A, Watson C, Turner D, Lucieer A, Watson C (2012). An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sensing 4(5):1392-1410. 
Crossref

 

Van Eck NJ, Waltman L (2013). VOSviewer manual. Leiden, Netherlands: Univeristeit Leiden

 

West JS, Canning GGM, Perryman SA, King K (2017). Novel Technologies for the detection of Fusarium head blight disea- se and airborne inoculum. Tropical Plant Pathology 42(3):203-209.
Crossref

 

Zarco-Tejada PJ, González-Dugo V, Berni JAJ (2012). Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sensing of Environment 117:322-337.
Crossref

 

Zarco-Tejada PJ, Guillén-Climent ML, Hernández-Clemente R, Catalina A, González MR, Martín P (2013a). Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV). Agricultural and Forest Meteorology 171:281-294. 
Crossref

 

Zarco-Tejada PJ, Morales A, Testi L, Villalobos FJ (2013b). Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance. Remote Sensing of Environment 133:102-115.
Crossref

 

Zhang C, Kovacs JM (2012). The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture 13(6):693-712. 
Crossref

 

Zhu H, Lan Y, Wu W, Hoffmann WC, Huang Y, Xue X, Fritz B (2010). Development of a PWM Precision Spraying Controller for Unmanned Aerial Vehicles. Journal of Bionic Engineering 7(3):276-283. 
Crossref

 

Zilberman D, Goetz R, Garrido A (2018). Climate Smart Agriculture Building Resilience to Climate Change (Springer). Roma, Italia. 
Crossref