Potato crop stress identification in aerial images using deep learning‐based object detection
Recent research on the application of remote sensing and deep learning‐based analysis in
precision agriculture demonstrated a potential for improved crop management and reduced …
precision agriculture demonstrated a potential for improved crop management and reduced …
Deep learning application in plant stress imaging: a review
Plant stress is one of major issues that cause significant economic loss for growers. The
labor-intensive conventional methods for identifying the stressed plants constrain their …
labor-intensive conventional methods for identifying the stressed plants constrain their …
New perspectives on plant disease characterization based on deep learning
The control of plant diseases is a major challenge to ensure global food security and
sustainable agriculture. Several recent studies have proposed to improve existing …
sustainable agriculture. Several recent studies have proposed to improve existing …
Machine learning and deep learning for plant disease classification and detection
Precision agriculture is a rapidly developing field aimed at addressing current concerns
about agricultural sustainability. Machine learning is the cutting edge technology …
about agricultural sustainability. Machine learning is the cutting edge technology …
Using deep learning for image-based potato tuber disease detection
Many plant diseases have distinct visual symptoms, which can be used to identify and
classify them correctly. This article presents a potato disease classification algorithm that …
classify them correctly. This article presents a potato disease classification algorithm that …
Image-based plant disease identification by deep learning meta-architectures
The identification of plant disease is an imperative part of crop monitoring systems.
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases
The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …
early detection and classification of leaf diseases in potato plants, which are among the most …
Deep neural networks to detect weeds from crops in agricultural environments in real-time: A review
Automation, including machine learning technologies, are becoming increasingly crucial in
agriculture to increase productivity. Machine vision is one of the most popular parts of …
agriculture to increase productivity. Machine vision is one of the most popular parts of …
Active learning with point supervision for cost-effective panicle detection in cereal crops
Background Panicle density of cereal crops such as wheat and sorghum is one of the main
components for plant breeders and agronomists in understanding the yield of their crops. To …
components for plant breeders and agronomists in understanding the yield of their crops. To …
Solving current limitations of deep learning based approaches for plant disease detection
Plant diseases cause great damage in agriculture, resulting in significant yield losses. The
recent expansion of deep learning methods has found its application in plant disease …
recent expansion of deep learning methods has found its application in plant disease …