Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality

Articles citing this paper

Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture

M. G. Trotter A B D , D. W. Lamb A B , G. E. Donald A C and D. A. Schneider A B
+ Author Affiliations
- Author Affiliations

A Cooperative Research Centre for Spatial Information, Carlton, Victoria 3053, Australia.

B Precision Agriculture Research Group, University of New England, Armidale, NSW 2351, Australia.

C CSIRO, Chiswick Research Station, Armidale, NSW 2350, Australia.

D Corresponding author. Email: mtrotter@une.edu.au

Crop and Pasture Science 61(5) 389-398 https://doi.org/10.1071/CP10019
Submitted: 20 January 2010  Accepted: 19 March 2010   Published: 12 May 2010



49 articles found in Crossref database.

Using multispectral data from an unmanned aerial system to estimate pasture depletion during grazing
Alvarez-Hess P.S., Thomson A.L., Karunaratne S.B., Douglas M.L., Wright M.M., Heard J.W., Jacobs J.L, Morse-McNabb E.M., Wales W.J., Auldist M.J.
Animal Feed Science and Technology. 2021 275 p.114880
Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass
Cooper Sam, Roy David, Schaaf Crystal, Paynter Ian
Remote Sensing. 2017 9(6). p.531
Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies
Gebremedhin Alem, Badenhorst Pieter E., Wang Junping, Spangenberg German C., Smith Kevin F.
Agronomy. 2019 9(2). p.65
A Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture Biomass in a Grazed, Native Pasture Landscape
Crabbe Richard Azu, Lamb David William, Edwards Clare, Andersson Karl, Schneider Derek
Remote Sensing. 2019 11(7). p.872
Monitoring biomass in two heterogeneous mountain pasture communities by image based 3D point cloud derived predictors
Passalacqua Nicodemo G., Aiello Simona, Bernardo Liliana, Gargano Domenico
Ecological Indicators. 2021 121 p.107126
The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopy
Rahman M.M., Lamb D.W., Stanley J.N.
Agricultural and Forest Meteorology. 2015 202 p.39
Assessment of Piatã palisadegrass forage mass in integrated livestock production systems using a proximal canopy reflectance sensor
Pezzopane José Ricardo Macedo, Bernardi Alberto Carlos de Campos, Bosi Cristiam, Crippa Paulo Henrique, Santos Patrícia Menezes, Nardachione Estefânia Cereda
European Journal of Agronomy. 2019 103 p.130
Mapping variability of pasture sward height, dry matter availability and disappearance during grazing
Dobos R. C., Alvarenga F. A. P., Bansi H., Austin K. L., Donaldson A. J., Woodgate R. T., Greenwood P. L.
Crop and Pasture Science. 2021 72(7). p.551
Strategies and agronomic interventions to improve the phosphorus-use efficiency of farming systems
Simpson Richard J., Oberson Astrid, Culvenor Richard A., Ryan Megan H., Veneklaas Erik J., Lambers Hans, Lynch Jonathan P., Ryan Peter R., Delhaize Emmanuel, Smith F. Andrew, Smith Sally E., Harvey Paul R., Richardson Alan E.
Plant and Soil. 2011 349(1-2). p.89
Challenges of Pasture Feeding Systems—Opportunities and Constraints
Wróbel Barbara, Zielewicz Waldemar, Staniak Mariola
Agriculture. 2023 13(5). p.974
Extended-altitude, aerial mapping of crop NDVI using an active optical sensor: A case study using a Raptor™ sensor over wheat
Lamb D.W., Schneider D.A., Trotter M.G., Schaefer M.T., Yule I.J.
Computers and Electronics in Agriculture. 2011 77(1). p.69
Improving productivity and increasing the efficiency of soil nutrient management on grassland farms in the UK and Ireland using precision agriculture technology
Higgins S., Schellberg J., Bailey J.S.
European Journal of Agronomy. 2019 106 p.67
Diagnostic Feed Values of Natural Grasslands Based on Multispectral Images Acquired by Small Unmanned Aerial Vehicle
Gao Rui, Kong Qingming, Wang Hongguang, Su Zhongbin
Rangeland Ecology & Management. 2019 72(6). p.916
Advancing Skyborne Technologies and High-Resolution Satellites for Pasture Monitoring and Improved Management: A Review
Ogungbuyi Michael Gbenga, Mohammed Caroline, Ara Iffat, Fischer Andrew M., Harrison Matthew Tom
Remote Sensing. 2023 15(19). p.4866
In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome—A case study in Tall Fescue (Festuca arundinacea)
Alam Muhammad Shahinur, Lamb David W., Rahman Muhammad Moshiur
Agricultural Water Management. 2019 213 p.352
The patterns of grazed pasture associated with scattered trees across an Australian temperate landscape: an investigation of pasture quantity and quality
Barnes Phoebe, Wilson Brian R., Trotter Mark G., Lamb David W., Reid Nick, Koen Terry, Bayerlein Leopold
The Rangeland Journal. 2011 33(2). p.121
A comparison of two ranging approaches in an active, optical plant canopy sensor
2014 IEEE Sensors Applications Symposium (SAS) (2014)
Schaefer Michael T., Lamb David W., Bradbury Ron
Integration of Soil Electrical Conductivity and Indices Obtained through Satellite Imagery for Differential Management of Pasture Fertilization
Serrano João, Shahidian Shakib, Marques da Silva José, Paixão Luís, Calado José, Carvalho Mário de
AgriEngineering. 2019 1(4). p.567
Multi-spectral radiometry to estimate pasture quality components
Pullanagari R. R., Yule I. J., Hedley M. J., Tuohy M. P., Dynes R. A., King W. M.
Precision Agriculture. 2012 13(4). p.442
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes
Serrano João, Sales-Baptista E., Shahidian Shakib, da Silva J. Marques, de Oliveira I. Ferraz, de Castro J. Lopes, Pereira Alfredo, d’Abreu M. Cancela, de Carvalho Mário
Agroforestry Systems. 2021 95(1). p.55
Image‐based high‐throughput phenotyping for the estimation of persistence of perennial ryegrass (Lolium perenne L.)—A review
Jayasinghe Chinthaka, Badenhorst Pieter, Jacobs Joe, Spangenberg German, Smith Kevin
Grass and Forage Science. 2021 76(3). p.321
Monitoring Seasonal Pasture Quality Degradation in the Mediterranean Montado Ecosystem: Proximal versus Remote Sensing
Serrano João, Shahidian Shakib, Marques da Silva José
Water. 2018 10(10). p.1422
Estimation of Productivity in Dryland Mediterranean Pastures: Long-Term Field Tests to Calibration and Validation of the Grassmaster II Probe
Serrano João, Shahidian Shakib, Moral Francisco, Carvajal-Ramirez Fernando, Marques da Silva José
AgriEngineering. 2020 2(2). p.240
A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures
Handcock Rebecca N., Gobbett D. L., González Luciano A., Bishop-Hurley Greg J., McGavin Sharon L.
Biogeosciences. 2016 13(16). p.4673
Predicting Key Grassland Characteristics from Hyperspectral Data
Jackman Patrick, Lee Thomas, French Michael, Sasikumar Jayadeep, O’Byrne Patricia, Berry Damon, Lacey Adrian, Ross Robert
AgriEngineering. 2021 3(2). p.313
Risk mapping of redheaded cockchafer (Adoryphorus couloni) (Burmeister) infestations using a combination of novel k-means clustering and on-the-go plant and soil sensing technologies
Cosby A. M., Falzon G. A., Trotter M. G., Stanley J. N., Powell K. S., Lamb D. W.
Precision Agriculture. 2016 17(1). p.1
Trigonometric correction factors renders the fAPAR–NDVI relationship from active optical reflectance sensors insensitive to solar elevation angle
Rahman M.M., Lamb D.W.
Computers and Electronics in Agriculture. 2016 121 p.43
Photogrammetry for assessment of pasture biomass
Wigley Kathryn, Owens Jennifer L., Westerschulte Matthias, Riding Paul, Fourie Jaco, Werner Armin
Journal of New Zealand Grasslands. 2019  p.33
Comparison of virtually fencing and electrically fencing sheep for pasture management
Marini Danila, Cowley Fran, Belson Sue, Lee Caroline, Wilson Cara
Animal Production Science. 2022 62(11). p.1000
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture
Merotto JR. A., Bredemeier C., Vidal R.A., Goulart I.C.G.R., Bortoli E.D., Anderson N.L
Planta Daninha. 2012 30(2). p.437
How do we feed grazing livestock in the future? A case for knowledge‐driven grazing systems
Horn Juliane, Isselstein Johannes
Grass and Forage Science. 2022 77(3). p.153
Assessment of irrigation expansion and implications for water resources by using RS and GIS techniques in the Lake Tana Basin of Ethiopia
Abera Abebech, Verhoest Niko E. C., Tilahun Seifu, Inyang Hilary, Nyssen Jan
Environmental Monitoring and Assessment. 2021 193(1).
The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time
Karunaratne Senani, Thomson Anna, Morse-McNabb Elizabeth, Wijesingha Jayan, Stayches Dani, Copland Amy, Jacobs Joe
Remote Sensing. 2020 12(12). p.2017
Using Aerial Images and Canopy Spectral Reflectance for High‐Throughput Phenotyping of White Clover
Inostroza Luis, Acuña Hernán, Munoz Patricio, Vásquez Catalina, Ibáñez Joel, Tapia Gerardo, Pino María Teresa, Aguilera Hernán
Crop Science. 2016 56(5). p.2629
Tree influence on soil and pasture: contribution of proximal sensing to pasture productivity and quality estimation in montado ecosystems
Serrano João, Shahidian Shakib, Marques Da Silva J., Sales-Baptista E., Ferraz De Oliveira I., Lopes De Castro J., Pereira Alfredo, Cancela De Abreu M., Machado Eliana, Carvalho Mário de
International Journal of Remote Sensing. 2018 39(14). p.4801
Estimating pasture biomass with active optical sensors
Andersson K., Trotter M., Robson A., Schneider D., Frizell L., Saint A., Lamb D., Blore C.
Advances in Animal Biosciences. 2017 8(2). p.754
Methane emissions and productivity of defaunated and refaunated sheep while grazing
Nguyen Son Hung, Nguyen Huyen Duong Thi, Bremner Graeme, Hegarty Roger Stephen
Small Ruminant Research. 2018 161 p.28
Spatial variability in pH and key soil nutrients: is this an opportunity to increase fertiliser and lime-use efficiency in grazing systems?
Trotter Mark, Guppy Chris, Haling Rebecca, Trotter Tieneke, Edwards Clare, Lamb David
Crop and Pasture Science. 2014 65(8). p.817
Proximal sensing of the seasonal variability of pasture nutritive value using multispectral radiometry
Pullanagari R. R., Yule I. J., Tuohy M. P., Hedley M. J., Dynes R. A., King W. M.
Grass and Forage Science. 2013 68(1). p.110
Biomass estimation from canopy measurements for leafy vegetables based on ultrasonic and laser sensors
Buelvas Roberto M., Adamchuk Viacheslav I., Leksono Eko, Tikasz Peter, Lefsrud Mark, Holoszkiewicz Jarek
Computers and Electronics in Agriculture. 2019 164 p.104896
Surveying pasture communities in diachronic analyses by 3D models: the diachronic canopy variation model
Passalacqua Nicodemo G., Muzzupappa Maurizio, Lagudi Antonio, Bernardo Liliana, Schettino Aldo, Gargano Domenico
Ecosphere. 2019 10(3).
Combination active optical and passive thermal infrared sensor for low-level airborne crop sensing
Lamb D. W., Schneider D. A., Stanley J. N.
Precision Agriculture. 2014 15(5). p.523
Evaluation of Normalized Difference Water Index as a Tool for Monitoring Pasture Seasonal and Inter-Annual Variability in a Mediterranean Agro-Silvo-Pastoral System
Serrano João, Shahidian Shakib, Marques da Silva José
Water. 2019 11(1). p.62
Radiometry of Proximal Active Optical Sensors (AOS) for Agricultural Sensing
Holland Kyle H., Lamb David W., Schepers James S.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2012 5(6). p.1793
Assessment of the spatial variability in tall wheatgrass forage using LANDSAT 8 satellite imagery to delineate potential management zones
Cicore Pablo, Serrano João, Shahidian Shakib, Sousa Adelia, Costa José Luis, da Silva José Rafael Marques
Environmental Monitoring and Assessment. 2016 188(9).
Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning
Ogungbuyi Michael Gbenga, Guerschman Juan P., Fischer Andrew M., Crabbe Richard Azu, Mohammed Caroline, Scarth Peter, Tickle Phil, Whitehead Jason, Harrison Matthew Tom
Land. 2023 12(6). p.1142
Developing an approach to assess farmer perceptions of the value of pasture assessment technologies
Eastwood Callum, Dela Rue Brian, Kerslake Joanne
Grass and Forage Science. 2020 75(4). p.474
A Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture Biomass in Tall Fescue (Festuca arundinacea var. Fletcher)
Schaefer Michael, Lamb David
Remote Sensing. 2016 8(2). p.109
Satellite derived evidence of whole farmlet and paddock responses to management and climate
Donald G. E., Scott J. M., Vickery P. J.
Animal Production Science. 2013 53(8). p.699

Committee on Publication Ethics


Abstract Export Citation Get Permission