Results 221 to 230 of about 74,098 (264)
Some of the next articles are maybe not open access.
An extensive review on crop/weed classification models
Web Intelligence, 2023Crop and weed identification remains a challenge for unmanned weed control. Due to the small range between the chopping tine and the important crop location, weed identification against the annual crops must be extremely exact. This study endeavor included a literature evaluation, which included the most important 50 research publications in IEEE ...
Bikramaditya Panda +3 more
openaire +2 more sources
IMAGE PROCESSING FOR THE CLASSIFICATION OF CROP SHELTERS
Acta Horticulturae, 2008The importance of automatic classification procedures applied on digital images (aerial orthophotographs, satellite images, etc.) for the recognition of soil coverage or morphological elements (geological discontinuities, ground textures, etc.) is widely confirmed by several studies on environmental issues.
ARCIDIACONO, Claudia +1 more
openaire +2 more sources
Classification of Wheat Crops from ASAR Data
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In this study, the use of ASAR HH/VV backscatter ratio for winter wheat classification has been assessed. The experimental analysis has been conducted over an agricultural site located in Southern Italy and mostly dedicated to durum-wheat cultivation.
G Satalino, F Mattia
openaire +3 more sources
Automatic Classification of Agricultural Summer Crops in Uruguay
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021In this work, we present a study for the classification of summer crops on a nationwide perspective. Using both optical and radar satellite images, we implement a time-series classification algorithm using XGBoost. Two datasets with farm-level information were used: one with ground truth obtained directly from farmers' production and the other with ...
Adrián Cal +2 more
openaire +2 more sources
THE CROP CONCEPT IN CULTONOMIC CLASSIFICATION
Acta Horticulturae, 2004In the 1995 International Code of Nomenclature for Cultivated Plants (ICNCP) the cultivar and cultivar-group are used as the main categories to classify cultivated plants. In order to link the cultonomic classification to the taxonomic (botanical) classification it might be desirable to indicate to what botanical category the cultivated plants are to ...
openaire +2 more sources
Genetic Classification of Brassica Crops
Nature, 1942LAST May we were asked by Messrs. Carter whether there was any danger of intercrossing between kales and swedes. No precise information was available and classification by morphology offered little help for, as Bailey1 remarks, the “Brassica group is indeed perplexing, excepting Rubus the most bewildering I have attempted”. Indeed, in Brassica, we find
P. T. THOMAS, M. B. CRANE
openaire +1 more source
Scientific Digest : Journal of Applied Engineering
Emotion detection plays a vital role in advancing human-computer interaction by enabling systems to recognize and respond appropriately to human emotions. This study introduces a deep learning-based multimodal emotion detection model that combines speech recognition and facial expression analysis to enhance classification accuracy.
null Patel Dineshkumar Vinubhai +2 more
openaire +1 more source
Emotion detection plays a vital role in advancing human-computer interaction by enabling systems to recognize and respond appropriately to human emotions. This study introduces a deep learning-based multimodal emotion detection model that combines speech recognition and facial expression analysis to enhance classification accuracy.
null Patel Dineshkumar Vinubhai +2 more
openaire +1 more source
Crop classification with LANDSAT multispectral scanner data
Pattern Recognition, 1978Abstract The LANDSAT multispectral scanner (MSS) data have been analyzed with a view toward classification to identify wheat. The notion of spectral signature of a crop, a commonly used basis for classification, has been found to be inadequate. Data analysis has revealed that the MSS data from agricultural sites are essentially two-dimensional, and ...
Pratap N. Misra, S. G. Wheeler
openaire +2 more sources
SAR and optical time series for crop classification
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017In this study, we compare the classification performance of time series with single polarized SAR data, optical data and fused optical and SAR data through the Gram-Schmidt transform. Different machine learning algorithms for crop classification were applied.
Dimov, Dimo +4 more
openaire +2 more sources
Crop Classification System in Agriculture
Journal of Advanced Research in Applied Sciences and Engineering TechnologyAgriculture plays a crucial role in Malaysia's economy, providing employment opportunities, income, and ensuring food security. The country's diverse climate and geography contribute to a wide range of agricultural products. However, farmers face challenges in identifying crop diseases and damage, leading to time‐consuming inspections and potential ...
Izanoordina Ahmad +5 more
openaire +1 more source