A survey on data‐efficient algorithms in big data era

A Adadi - Journal of Big Data, 2021 - Springer
The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …

Codling moth monitoring with camera-equipped automated traps: A review

J Suto - Agriculture, 2022 - mdpi.com
The codling moth (Cydia pomonella) is probably the most harmful pest in apple and pear
orchards. The crop loss due to the high harmfulness of the insect can be extremely …

农业害虫检测的深度学习算法综述.

蒋心璐, 陈天恩, 王聪, 李书琴… - Journal of Computer …, 2023 - search.ebscohost.com
害虫检测是害虫测报的关键步骤, 对于害虫防治具有重要意义, 也是保证农作物产量和品质的
前提. 近年来, 随着卷积神经网络的迅速发展, 害虫检测技术进入智能化时代 …

IoT-based pest detection and classification using deep features with enhanced deep learning strategies

B Prasath, M Akila - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Agriculture is an essential source of sustenance. Here, pest detection is very helpful in
increasing food quality, and also it helps to increase the country's economy. Moreover, the …

From machine learning to deep learning in agriculture–the quantitative review of trends

K Dokic, L Blaskovic, D Mandusic - IOP conference series: Earth …, 2020 - iopscience.iop.org
In the last two decades, we have witnessed the intensive development of artificial
intelligence in the field of agriculture. In this period, the transition from the application of …

Field pest monitoring and forecasting system for pest control

C Liu, Z Zhai, R Zhang, J Bai, M Zhang - Frontiers in Plant Science, 2022 - frontiersin.org
Insect pest is an essential factor affecting crop yield, and the effect of pest control depends
on the timeliness and accuracy of pest forecasting. The traditional method forecasts pest …

Deep Multibranch Fusion Residual Network and IoT-based pest detection system using sound analytics in large agricultural field

RK Dhanaraj, MA Ali, AK Sharma, A Nayyar - Multimedia Tools and …, 2024 - Springer
In the modern era, agriculture is necessary for human existence globally, and it is imperative
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …

Pest detection via hybrid classification model with fuzzy C-means segmentation and proposed texture feature

MD Chodey, CN Shariff - Biomedical Signal Processing and Control, 2023 - Elsevier
Due to the frequent outbreaks of agricultural pests, agricultural production is limited and crop
yield is minimized. Several types of agricultural pests, on the other hand, provide greater …

Development of an automated multidirectional pest sampling detection system using motorized sticky traps

MK Hadi, MSM Kassim, A Wayayok - IEEE Access, 2021 - ieeexplore.ieee.org
Insect detection and counting constitute a considerable challenge in the field of agriculture.
However, among various biotic issues of agricultural production, pest infestation is a major …

A novel plug-in board for remote insect monitoring

J Suto - Agriculture, 2022 - mdpi.com
The conventional approach to monitoring insect swarming is based on traps that are
periodically checked by human operators. However, human checking of trap contents is …