A review on the main challenges in automatic plant disease identification based on visible range images
JGA Barbedo - Biosystems engineering, 2016 - Elsevier
Highlights•The challenges involved in the automatic identification of plant diseases are
characterised.•The impact of those challenges on current proposals is discussed.•Possible …
characterised.•The impact of those challenges on current proposals is discussed.•Possible …
Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria
Phytopathogenic bacteria cause severe economic losses in agricultural production
worldwide. The spread rates, severity, and emerging plant bacterial diseases have become …
worldwide. The spread rates, severity, and emerging plant bacterial diseases have become …
Cardamom plant disease detection approach using EfficientNetV2
Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …
Annotated plant pathology databases for image-based detection and recognition of diseases
Over the last few years, considerable effort has been spent by Embrapa in the construction
of a plant disease database representative enough for the development of effective methods …
of a plant disease database representative enough for the development of effective methods …
An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild
Automatic crop disease recognition in the wild is a challenging topic in modern intelligent
agriculture due to the appearance variances and cluttered background among crop …
agriculture due to the appearance variances and cluttered background among crop …
A deep neural network approach towards real-time on-branch fruit recognition for precision horticulture
Real-time and accurate on-branch fruit recognition in an uncontrolled/unstructured
environment of orchards could facilitate Precision Horticulture (PH) practices. These …
environment of orchards could facilitate Precision Horticulture (PH) practices. These …
Augmenting crop detection for precision agriculture with deep visual transfer learning—a case study of bale detection
In recent years, precision agriculture has been researched to increase crop production with
less inputs, as a promising means to meet the growing demand of agriculture products …
less inputs, as a promising means to meet the growing demand of agriculture products …
Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles
Severe crop defoliation caused by insects and pests is linked to low agricultural productivity.
If the root cause is not addressed, severe defoliation spreads, damaging whole crop fields …
If the root cause is not addressed, severe defoliation spreads, damaging whole crop fields …
Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest—a review
Computer vision systems are becoming a scientific but also a commercial tool for food
quality assessment. In the field, these systems can be used to predict yield, as well as for …
quality assessment. In the field, these systems can be used to predict yield, as well as for …
Combining multicolor fluorescence imaging with multispectral reflectance imaging for rapid citrus Huanglongbing detection based on lightweight convolutional neural …
C He, X Li, Y Liu, B Yang, Z Wu, S Tan, D Ye… - … and Electronics in …, 2022 - Elsevier
Citrus Huanglongbing (HLB) has posed a great challenge to the citrus production. Timely
removal of HLB infected trees was considered as one of the most effective strategies for …
removal of HLB infected trees was considered as one of the most effective strategies for …