Today I found this Dutch cinema news reel from Polygoon-Profilti published March 1945 with an impression of the daily food ration for the starving population of Holland at the end of the hunger winter. One sees the preparation of tulip bulbs, sugar beets, peas and cabbage soup. Also the u...
Nevertheless, the required dataset size is proportional to the number of plant species considered in it. Datasets such as DeepWeeds (Olsen et al., 2019) or Sugar Beets 2016 (Chebrolu et al., 2017) are common choices for evaluating newly proposed computer vision approaches in the domain of ...
Quantification of impact-factors on seeding accuracy of sugar beets. adaptive systemsfiltering and prediction theorysignal processingadaptive processchange detectionhistogramslocally stationary multichannel signals... H Kam,C Pevelingoberhag,PS Lammers - 《Toxicology & Applied Pharmacology》 被引量: 2发表:...
The results showed that a dense time series of Sentinel-1 images allowed for high classification accuracies of grasslands, maize, canola, sugar beets and potatoes (F1-score above 0.8) using PSP as well as standard (Random Forest and Maximum Likelihood) classification method. The PSP approach ...
km. It benefits from favourable geographical, land and climatic conditions, allowing for the cultivation of a diverse range of crops. Wheat and sugar beets are the major crops grown in this region, together with other vegetables. The region enjoys a mild continental climate year-round, with ...
This conclusion is consistent with that of the following study: Mahlein drew a contour map of the correlation coefficient of leaf spot, rust, and powdery mildew disease severity in sugar beets based on any 2-band NDVI and used it to identify and monitor plant diseases [74]. Wang proposed ...
If the food still contains ice crystals, the I Canned juices, milk, soup (if powdered, store extra food is safe. water) Undamaged, commercially prepared foods in all- I Staples, such as sugar, salt, pepper metal cans and retort pouches (for example, flexible, I High energy...
Real-time blob-wise sugar beets vs. weeds classification for monitoring fields using convolutional neural networks. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2017, IV-2/W3, 41–48. [Google Scholar] [CrossRef] Di Cicco, M.; Potena, C.; Grisetti, G.; Pretto, A. Automatic ...
Real-time Blob-wise Sugar Beets vs Weeds Classification for Monitoring Fields using Convolutional Neural Networks. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2017, V-2/W3, 41–48. [Google Scholar] [CrossRef] Goodfellow, I.; Bengio, Y.; Courville, A. Deep Learning; MIT Press:...