“Smart Agriculture” Information Technology and Agriculture Cross-Discipline Research and Development
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2024Description: 1 Online-Ressource (1 electronic resource 316 p.)ISBN:- 9783725808175
- 9783725808182
- Mathematics and Science
- Biology, life sciences
- DLAC-CNN-RF model
- DenseNet
- EfficientNet
- FCN
- FPN
- FastGAN
- Faster-R-CNN
- Gaussian probabilistic method function
- Information communication technology
- ResNeXt
- Septoria tritici blotch
- ShuffleNetV2
- YOLOv5
- YOLOv7-tiny-Apple
- accuracy
- activation function
- agriculture
- appearance quality identification of ginseng
- attention mechanism
- automated fertilizer production
- automated irrigation
- carbon dioxide
- citrus diseases
- classification
- classification network
- convolutional neural network
- corn seeds
- crop phenotype
- crop seedling detection
- data quality assessment
- data quality dimensions
- data science
- deep learning
- dense target detection
- digital agriculture
- disease recognition
- drip irrigation system
- edible fungi fruit body
- ensemble learning
- field measurement
- flow rate
- fruit detection and counting
- generative adversarial network
- hyperspectral disease detection
- hyperspectral signature
- identification
- image detection technology
- image identification
- image segmentation
- improved DeepLabV3+
- improved DeepLabv3+ model
- interpolation
- laser heterod
Open Access. Unrestricted online access star
Namensnennung - Nicht-kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc:
https://creativecommons.org/licenses/by-nc-nd/4.0/
eng