Results 101 to 110 of about 2,158 (165)

Multi dimensional variable influence mechanism analysis for wheat biomass estimation using fused UAV spectral and canopy height data and machine learning. [PDF]

Front Plant Sci
Zhao S, Luo S, Fang Z, Liu X, Chen J.
europepmc   +1 more source

Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane

, 2016
An analysis of time series Landsat imagery acquired over the Bundaberg region between 2010 and 2015 identified variations in annual crop vigour trends, as determined by greenness normalised difference vegetation index (GNDVI).
Robinson, Nicole, Johansen, Kasper, Salter, Barry, Robson, Andrew, Falzon, Gregory, Kiran Verma, Niva, Lakshmanan, Prakash, Rahman, Muhammad Moshiur, Skocaj, Danielle   +8 more
core  

A camera calibration method driven by unmanned aerial vehicles and high-precision estimation of maize SPAD values under adverse conditions. [PDF]

Front Plant Sci
Yan J, Miao S, Li X, Shi H, Ding S, Li Z, Wang N.   +6 more
europepmc   +1 more source

Machine learning techniques for accessing the chlorophyll content and fluorescence in maize based on UAV multispectral sensor. [PDF]

BMC Plant Biol
Parida PK, Eagan S, Parida NK, Patil SG, Jena NK, Singh M, Ramanujam K, Sengodan R, Uthandi S, Ramasamy SRS.   +9 more
europepmc   +1 more source

Retrieval of pigment content and water status of Pinus massoniana under pine wood nematode stress using multitemporal UAV multispectral imagery. [PDF]

Pest Manag Sci
You Z, Yu R, Hong H, Wu S, Zhang F.
europepmc   +1 more source

UAV-based phenotyping outperforms visual canopy wilting for evaluating soybean drought tolerance and yield retention under rainfed conditions. [PDF]

Front Plant Sci
Pawar PS, Wu C, Harrison D, Rogers D, Fallen B, Canella Vieira C.   +5 more
europepmc   +1 more source

Prediction of growth parameters in the medicinal plant <i>Astragalus membranaceus</i> var. <i>mongholicus</i> (Bunge) P.K.Hsiao using Unmanned Aerial Vehicle multispectral measurement. [PDF]

Front Plant Sci
Pang F, Jiang H, Li T, Guan H, Zhao Y, Zhang C, Jia X, Xue Y, Han F, Wang X, Cao Y.   +10 more
europepmc   +1 more source

Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane

, 2018
AN ANALYSIS OF time series Landsat imagery acquired over the Bundaberg region between 2010 and 2015 identified variations in annual crop vigour trends, as determined by greenness normalised difference vegetation index (GNDVI).
Verma, Niva, Robinson, Nicole, Johansen, Kasper, Salter, Barry, Robson, Andrew, Falzon, Gregory, Lakshmanan, Prakash, Rahman, Muhammad Moshiur, Skocaj, Danielle   +8 more
core  

Estimation of Wheat Grain Protein Content at Multiple Growth Stages Based on Space-Air-Ground Collaborative Observation Data. [PDF]

Plants (Basel)
Li M, Li J, Zhang Y, Ye H, Chu R, Zhang X, Han S, Xue X.   +7 more
europepmc   +1 more source

Methodology for Selecting Stable UAV-Based Vegetation Indices for Prediction of Agronomic Variables in Maize Using a Multispectral Sensor. [PDF]

Plants (Basel)
Lima CDS, Soares AJT, Nogueira BDS, Vian AL, Carvalho IR, Bredemeier C.   +5 more
europepmc   +1 more source