Artificial Neural Networks in Agriculture
Artificial Neural Networks in Agriculture
English[eng]
9783040000000
artificial neural network (ANN)||Grain weevil identification||neural modelling classification||winter wheat||grain||artificial neural network||ferulic acid||deoxynivalenol||nivalenol||MLP network||sensitivity analysis||precision agriculture||machine learning||similarity||metric||memory||deep learning||plant growth||dynamic response||root zone temperature||dynamic model||NARX neural networks||hydroponics||vegetation indices||UAV||neural network||corn plant density||corn canopy cover||yield prediction||CLQ||GA-BPNN||GPP-driven spectral model||rice phenology||EBK||correlation filter||crop yield prediction||hybrid feature extraction||recursive feature elimination wrapper||artificial neural networks||big data||classification||high-throughput phenotyping||modeling||predicting||time series forecasting||soybean||food production||paddy rice mapping||dynamic time warping||LSTM||weakly supervised learning||cropland mapping||apparent soil electrical conductivity (ECa)||magnetic susceptibility (MS)||EM38||neural networks||Phoenix dactylifera L.||Medjool dates||image classification||convolutional neural networks||transfer learning||average degree of coverage||coverage unevenness coefficient||optimization||high-resolution imagery||oil palm tree||CNN||Faster-RCNN||image identification||agroecology||weeds||yield gap||environment||health||crop models||soil and plant nutrition||automated harvesting||model application for sustainable agriculture||remote sensing for agriculture||decision supporting systems||neural image analysis
English[eng]
9783040000000
artificial neural network (ANN)||Grain weevil identification||neural modelling classification||winter wheat||grain||artificial neural network||ferulic acid||deoxynivalenol||nivalenol||MLP network||sensitivity analysis||precision agriculture||machine learning||similarity||metric||memory||deep learning||plant growth||dynamic response||root zone temperature||dynamic model||NARX neural networks||hydroponics||vegetation indices||UAV||neural network||corn plant density||corn canopy cover||yield prediction||CLQ||GA-BPNN||GPP-driven spectral model||rice phenology||EBK||correlation filter||crop yield prediction||hybrid feature extraction||recursive feature elimination wrapper||artificial neural networks||big data||classification||high-throughput phenotyping||modeling||predicting||time series forecasting||soybean||food production||paddy rice mapping||dynamic time warping||LSTM||weakly supervised learning||cropland mapping||apparent soil electrical conductivity (ECa)||magnetic susceptibility (MS)||EM38||neural networks||Phoenix dactylifera L.||Medjool dates||image classification||convolutional neural networks||transfer learning||average degree of coverage||coverage unevenness coefficient||optimization||high-resolution imagery||oil palm tree||CNN||Faster-RCNN||image identification||agroecology||weeds||yield gap||environment||health||crop models||soil and plant nutrition||automated harvesting||model application for sustainable agriculture||remote sensing for agriculture||decision supporting systems||neural image analysis