Classification of plug seedling quality by improved convolutional neural network with an attention mechanism
X Du, L Si, X **, P Li, Z Yun, K Gao - Frontiers in Plant Science, 2022 - frontiersin.org
The classification of plug seedling quality plays an active role in enhancing the quality of
seedlings. The EfficientNet-B7-CBAM model, an improved convolutional neural network …
seedlings. The EfficientNet-B7-CBAM model, an improved convolutional neural network …
A systematic review of the literature on machine learning methods applied to high throughput phenoty** in agricultural production
The amount of images that can be extracted from crops such as soybean, corn, sorghum,
etc., has increased exponentially due to the proliferation of remote sensing technologies …
etc., has increased exponentially due to the proliferation of remote sensing technologies …
Multimodal object detection using depth and image data for manufacturing parts
N Mahjourian, V Nguyen - ar** at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss
The use of low-cost depth imaging sensors is investigated to automate plant pathology tests.
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
On the Use of Circadian Cycles to Monitor Individual Young Plants
Occlusion is a very common problem in computer vision. The presence of objects seen as
overlapped under a camera negatively impacts object recognition, object counting or shape …
overlapped under a camera negatively impacts object recognition, object counting or shape …
[HTML][HTML] Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors
Abstract We describe Growth Data, a software for seedling growth analysis from time lapse
acquired in top view via RGB-Depth low-cost sensors. The software is suited for the …
acquired in top view via RGB-Depth low-cost sensors. The software is suited for the …
[HTML][HTML] Affordable Phenoty** at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss
The use of low-cost depth imaging sensors is investigated to automate plant pathology tests.
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
Smartphone based fluorescence imaging for online control of cattle fodder preparation
VN Lednev, IA Kucherenko, VA Levshin… - Photonics, 2022 - mdpi.com
A simple and cost-effective technique has been suggested for online monitoring of grist
concentration in fodder. The technique is based on fluorescence imaging with grow light …
concentration in fodder. The technique is based on fluorescence imaging with grow light …
Energy Market Predictions with Hybrid Neural Network 1D-CNN-BiGRU
E Avdevičius, M Eskander… - 2023 IEEE PES Innovative …, 2023 - ieeexplore.ieee.org
Electricity price forecasting is important for managing supply and demand, planning
investments in energy projects, ensuring energy security and efficient use of resources. This …
investments in energy projects, ensuring energy security and efficient use of resources. This …
Efficacy of antagonistic yeasts in the control of brown rot of nectarines and effect on fruit microbiome.
Monilinia fructicola, the causal agent of brown rot, is one of the most important pathogens
affecting nectarines during storage. Current management strategies include preventive …
affecting nectarines during storage. Current management strategies include preventive …