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 …

Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria

Q Ali, H Zheng, MJ Rao, M Ali, A Hussain, MH Saleem… - Chemosphere, 2022 - Elsevier
Phytopathogenic bacteria cause severe economic losses in agricultural production
worldwide. The spread rates, severity, and emerging plant bacterial diseases have become …

Cardamom plant disease detection approach using EfficientNetV2

CK Sunil, CD Jaidhar, N Patil - Ieee Access, 2021 - ieeexplore.ieee.org
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 …

Annotated plant pathology databases for image-based detection and recognition of diseases

JGA Barbedo, LV Koenigkan… - IEEE Latin America …, 2018 - ieeexplore.ieee.org
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 …

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild

Y Zhao, L Liu, C Xie, R Wang, F Wang, Y Bu… - Applied Soft …, 2020 - Elsevier
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 …

Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest—a review

S Cubero, WS Lee, N Aleixos, F Albert… - Food and Bioprocess …, 2016 - Springer
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 …

[HTML][HTML] Augmenting crop detection for precision agriculture with deep visual transfer learning—a case study of bale detection

W Zhao, W Yamada, T Li, M Digman, T Runge - Remote Sensing, 2020 - mdpi.com
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 …

A deep neural network approach towards real-time on-branch fruit recognition for precision horticulture

SI Saedi, H Khosravi - Expert Systems with Applications, 2020 - Elsevier
Real-time and accurate on-branch fruit recognition in an uncontrolled/unstructured
environment of orchards could facilitate Precision Horticulture (PH) practices. These …

Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles

Z Zhang, S Khanal, A Raudenbush, K Tilmon… - … and Electronics in …, 2022 - Elsevier
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 …

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 …