Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
[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 …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
Plant disease identification based on deep learning algorithm in smart farming
Y Guo, J Zhang, C Yin, X Hu, Y Zou… - Discrete Dynamics in …, 2020 - Wiley Online Library
The identification of plant disease is the premise of the prevention of plant disease efficiently
and precisely in the complex environment. With the rapid development of the smart farming …
and precisely in the complex environment. With the rapid development of the smart farming …
Deep learning algorithms for very short term solar irradiance forecasting: A survey
M Ajith, M Martínez-Ramón - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
Integrating solar energy with existing grid systems is difficult due to its variability, which is
impacted by factors such as the predicted horizon, meteorological conditions, and …
impacted by factors such as the predicted horizon, meteorological conditions, and …
Robotics and automation in agriculture: present and future applications
Agriculture is the backbone of society as it mainly functions to provide food, feed and fiber on
which all human depends to live. Precision agriculture is implemented with a goal to apply …
which all human depends to live. Precision agriculture is implemented with a goal to apply …
A CNN-based lightweight ensemble model for detecting defective carrots
W Xie, S Wei, Z Zheng, D Yang - Biosystems Engineering, 2021 - Elsevier
Highlights•CarrotNet was proposed based on AlexNet tailored for detecting carrot
defects.•The optimised CarrotNet got an accuracy of 97.04% and a detection speed of 80 …
defects.•The optimised CarrotNet got an accuracy of 97.04% and a detection speed of 80 …
Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models
The purity of the seeds is one of the important factors that increase the yield. For this reason,
the classification of maize cultivars constitutes a significant problem. Within the scope of this …
the classification of maize cultivars constitutes a significant problem. Within the scope of this …
Solar radiation prediction based on convolution neural network and long short-term memory
T Zhu, Y Guo, Z Li, C Wang - Energies, 2021 - mdpi.com
Photovoltaic power generation is highly valued and has developed rapidly throughout the
world. However, the fluctuation of solar irradiance affects the stability of the photovoltaic …
world. However, the fluctuation of solar irradiance affects the stability of the photovoltaic …
Current progress on innovative pest detection techniques for stored cereal grains and thereof powders
L Zhu, Q Ma, J Chen, G Zhao - Food Chemistry, 2022 - Elsevier
For stored grains and their powders, pest infestation has always been a knotty problem and
thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate …
thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate …