Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture

F Lamonaca, DL Carnì - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
This paper would provide a comprehensive review of the synergistic integration of
measurement science and artificial intelligence (AI) in the realm of smart agriculture. As …

[PDF][PDF] Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery

NA Sehree, AM Khidhir - Indonesian Journal of Electrical …, 2022 - academia.edu
Unmanned aerial vehicles (UAVs) are one of the various aerial remote sensing platforms
with ease of use and cost-effectiveness it can deliver highresolution imaging, obtained using …

Vertical botany: airborne remote sensing as an emerging tool for mistletoe research

A Missarov, Y Sosnovsky, K Rydlo, O Brovkina… - Botany, 2023 - cdnsciencepub.com
Mistletoe detection and sampling remain challenging for arborists, dendrologists, forest
ecologists, and other specialists because of the limited access to host tree canopy. In this …

Genetic programming approach for the detection of mistletoe based on UAV multispectral imagery in the conservation area of mexico city

PA Mejia-Zuluaga, L Dozal, JC Valdiviezo-N - Remote Sensing, 2022 - mdpi.com
The mistletoe Phoradendron velutinum (P. velutinum) is a pest that spreads rapidly and
uncontrollably in Mexican forests, becoming a serious problem since it is a cause of the …

Mitigating the Mistletoe Menace: Biotechnological and smart management approaches

G Mudgal, J Kaur, K Chand, M Parashar, SK Dhar… - Biology, 2022 - mdpi.com
Simple Summary In this article, we discuss the current status of conventional management
and control approaches for mistletoes, the hemiparasitic plants that have emerged as …

[PDF][PDF] Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery

ML El Mehdi Raouhi, H Hrimech… - International Journal of …, 2024 - academia.edu
Early detection of diseases in growing olive trees is essential for reducing costs and
increasing productivity in this crucial economic activity. The quality and quantity of olive oil …

[PDF][PDF] Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery.

EM Raouhi, M Lachgar, H Hrimech… - International Journal of …, 2024 - core.ac.uk
Early detection of diseases in growing olive trees is essential for reducing costs and
increasing productivity in this crucial economic activity. The quality and quantity of olive oil …

Texture descriptors and machine learning algorithms for mistletoe detection in urban forests using multispectral imagery

PA Mejia-Zuluaga, JC Valdiviezo-N… - Remote Sensing for …, 2023 - spiedigitallibrary.org
In this study, we compare the performance of texture descriptors and spectral vegetation
indices for the classification of a hemiparasitic plant that grows on host trees, known as …

Detection of Phoradendron Velutinum Implementing Genetic Programming in Multispectral Aerial Images in Mexico City

PA Mejia-Zuluaga, LF Dozal-García… - International Conference …, 2021 - Springer
Abstract This research implements Genetic Programming to design a spectral index that
allows the automated detection of the species Phoradendron Velutinum because it is a pest …