A review of deep learning techniques used in agriculture
Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
Detection and identification of plant leaf diseases using YOLOv4
Detecting plant leaf diseases accurately and promptly is essential for reducing economic
consequences and maximizing crop yield. However, farmers' dependence on conventional …
consequences and maximizing crop yield. However, farmers' dependence on conventional …
Progress in the application of cnn-based image classification and recognition in whole crop growth cycles
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …
requisites of contemporary farming practices. Among the various methods employed for …
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
There are many types of haricot beans, the nutrient consumed all over the world. Each type
differs in terms of features such as taste, size, economic value, etc. But even if they are …
differs in terms of features such as taste, size, economic value, etc. But even if they are …
[HTML][HTML] Grape bunch detection at different growth stages using deep learning quantized models
The agricultural sector plays a fundamental role in our society, where it is increasingly
important to automate processes, which can generate beneficial impacts in the productivity …
important to automate processes, which can generate beneficial impacts in the productivity …
Hyperspectral monitoring of powdery mildew disease severity in wheat based on machine learning
ZH Feng, LY Wang, ZQ Yang, YY Zhang, X Li… - Frontiers in Plant …, 2022 - frontiersin.org
Powdery mildew has a negative impact on wheat growth and restricts yield formation.
Therefore, accurate monitoring of the disease is of great significance for the prevention and …
Therefore, accurate monitoring of the disease is of great significance for the prevention and …
A hyperspectral data 3D convolutional neural network classification model for diagnosis of gray mold disease in strawberry leaves
Gray mold disease is one of the most frequently occurring diseases in strawberries. Given
that it spreads rapidly, rapid countermeasures are necessary through the development of …
that it spreads rapidly, rapid countermeasures are necessary through the development of …
DBA_SSD: A novel end-to-end object detection algorithm applied to plant disease detection
J Wang, L Yu, J Yang, H Dong - Information, 2021 - mdpi.com
In response to the difficulty of plant leaf disease detection and classification, this study
proposes a novel plant leaf disease detection method called deep block attention SSD …
proposes a novel plant leaf disease detection method called deep block attention SSD …
A deep learning image system for classifying high oleic sunflower seed varieties
M Barrio-Conde, MA Zanella, JM Aguiar-Perez… - Sensors, 2023 - mdpi.com
Sunflower seeds, one of the main oilseeds produced around the world, are widely used in
the food industry. Mixtures of seed varieties can occur throughout the supply chain …
the food industry. Mixtures of seed varieties can occur throughout the supply chain …