Trends in vision-based machine learning techniques for plant disease identification: A systematic review

PS Thakur, P Khanna, T Sheorey, A Ojha - Expert Systems with …, 2022 - Elsevier
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
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 …

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 …

[HTML][HTML] Automation and digitization of agriculture using artificial intelligence and internet of things

A Subeesh, CR Mehta - Artificial Intelligence in Agriculture, 2021 - Elsevier
The growing population and effect of climate change have put a huge responsibility on the
agriculture sector to increase food-grain production and productivity. In most of the countries …

A comparative study of deep learning and Internet of Things for precision agriculture

T Saranya, C Deisy, S Sridevi… - … Applications of Artificial …, 2023 - Elsevier
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …

Lightweight convolutional neural network model for field wheat ear disease identification

W Bao, X Yang, D Liang, G Hu, X Yang - Computers and Electronics in …, 2021 - Elsevier
Manual diagnosis of crop diseases has high cost and low efficiency and has become
increasingly unsuitable for the needs of modern agricultural production. This study designed …

[HTML][HTML] Semantic segmentation of agricultural images: A survey

Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2023 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …

Tomato plant disease classification using multilevel feature fusion with adaptive channel spatial and pixel attention mechanism

CK Sunil, CD Jaidhar, N Patil - Expert Systems with Applications, 2023 - Elsevier
Agriculture's productivity has decreased in the last decade due to climate change and
inappropriate usage of water, fertilizer, and pesticides, which stimulate plant diseases. Plant …

Plant image recognition with deep learning: A review

Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

Fast detection and location of longan fruits using UAV images

D Li, X Sun, H Elkhouchlaa, Y Jia, Z Yao, P Lin… - … and Electronics in …, 2021 - Elsevier
In agriculture, fruit picking robots on the ground have difficulty adapting to the terrain
conditions of mountain orchards and cannot pick longan fruit from tall longan trees. In this …