A bibliometric review of the use of unmanned aerial vehicles in precision agriculture and precision viticulture for sensing applications

AP Singh, A Yerudkar, V Mariani, L Iannelli, L Glielmo - Remote Sensing, 2022 - mdpi.com
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture,
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …

[HTML][HTML] Using computer vision, image analysis and UAVs for the automatic recognition and counting of common cranes (Grus grus)

A Chen, M Jacob, G Shoshani, M Charter - Journal of Environmental …, 2023 - Elsevier
Long-term monitoring of wildlife numbers traditionally uses observers, which are frequently
inefficient and inaccurate due to their variable experience/training, are costly and difficult to …

[HTML][HTML] A two-stage low-altitude remote sensing papaver somniferum image detection system based on YOLOv5s+ DenseNet121

Q Wang, C Wang, H Wu, C Zhao, G Teng, Y Yu, H Zhu - Remote Sensing, 2022 - mdpi.com
Papaver somniferum (opium poppy) is not only a source of raw material for the production of
medical narcotic analgesics but also the major raw material for certain psychotropic drugs …

The use of drones to determine rodent location and damage in agricultural crops

D Keshet, A Brook, D Malkinson, I Izhaki, M Charter - Drones, 2022 - mdpi.com
Rodent pests cause extensive damage to agricultural crops worldwide. Farmers' ability to
monitor rodent activity and damage within crops is limited due to their inability to …

Integrating YOLO and WordNet for automated image object summarization

SM Saqib, A Aftab, T Mazhar, M Iqbal… - Signal, Image and Video …, 2024 - Springer
The demand for methods that automatically create text summaries from images containing
many things has recently grown. Our research introduces a fresh and creative way to …

Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field

J Plaza, N Sánchez, C García‐Ariza… - Pest management …, 2022 - Wiley Online Library
BACKGROUND The common vole (Microtus arvalis) is a very destructive agricultural pest.
Particularly in Europe, its monitoring is essential not only for adequate management and …

Brandt's vole hole detection and counting method based on deep learning and unmanned aircraft system

W Wu, S Liu, X Zhong, X Liu, D Wang… - Frontiers in Plant Science, 2024 - frontiersin.org
Rodents are essential to the balance of the grassland ecosystem, but their population
outbreak can cause major economic and ecological damage. Rodent monitoring is crucial …

A deep learning approach for detecting pneumonia in chest X-rays

ME Şahin, H Ulutaş, E Yüce - Avrupa Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
Pneumonia causes the death of many children every year and constitutes a certain
proportion of the world population. Chest X-rays are primarily used to diagnose this disease …

Detection and classification of Brandt's vole burrow clusters utilizing GF-2 satellite imagery and faster R-CNN model

C Sun, Y Bao, Y Bao, B Vandansambuu… - Frontiers in Ecology …, 2024 - frontiersin.org
Most small rodent populations worldwide exhibit fascinating population dynamics, capturing
the attention of numerous scholars due to their multiyear cyclic fluctuations in population …

Detection of spatial avoidance between sousliks and moles by combining field observations, remote sensing and deep learning techniques

R Łopucki, D Klich, P Kociuba - Scientific Reports, 2022 - nature.com
Nowadays, remote sensing is being increasingly applied in ecology and conservation, and
even underground animals can successfully be studied if they leave clear signs of their …