A review of robots, perception, and tasks in precision agriculture

A Botta, P Cavallone, L Baglieri, G Colucci… - applied …, 2022 - mdpi.com
This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …

Using remote sensing to identify individual tree species in orchards: A review

A Ozdarici-Ok, AO Ok - Scientia Horticulturae, 2023 - Elsevier
Fruit trees are an essential subset of all tree species due to their high water and nutrient
content. They play a vital role in human nutrition and provide a significant economic boost …

A survey of ranging and imaging techniques for precision agriculture phenotyping

FY Narvaez, G Reina, M Torres-Torriti… - IEEE/ASME …, 2017 - ieeexplore.ieee.org
Agricultural production must double by 2050 in order to meet the expected food demand due
to population growth. Precision agriculture is the key to improve productivity and efficiency in …

UAV-based multi-sensor data fusion for urban land cover mapping using a deep convolutional neural network

A Elamin, A El-Rabbany - Remote sensing, 2022 - mdpi.com
Accurate and up-to-date land cover classification information is essential for many
applications, such as land-use change detection, global environmental change, and forest …

Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest

I Shendryk, M Broich, MG Tulbure, A McGrath… - Remote Sensing of …, 2016 - Elsevier
Declining forest health can affect crucial ecosystem functions, such as carbon storage in
biomass and soils, the regulation of water regimes, the modulation of regional climate and …

[HTML][HTML] The potential of combining satellite and airborne remote sensing data for habitat classification and monitoring in forest landscapes

A Iglseder, M Immitzer, A Dostálová, A Kasper… - International Journal of …, 2023 - Elsevier
Mapping and monitoring of habitats are requirements for protecting biodiversity. In this study,
we investigated the benefit of combining airborne (laser scanning, image-based point …

Radiometric correction and normalization of airborne LiDAR intensity data for improving land-cover classification

WY Yan, A Shaker - IEEE Transactions on Geoscience and …, 2014 - ieeexplore.ieee.org
Radiometric correction of airborne LiDAR intensity data has been proposed based on the
use of the radar (range) equation for removing the effects of attenuation due to system and …

[PDF][PDF] Augmenting weighted average with confusion matrix to enhance classification accuracy

VM Patro, MR Patra - Transactions on Machine Learning and Artificial …, 2014 - Citeseer
Accuracy of a classifier or predictor is normally estimated with the help of confusion matrix,
which is a useful tool for analyzing how well the classifier can recognize tuples of different …

Fusion of airborne discrete-return LiDAR and hyperspectral data for land cover classification

S Luo, C Wang, X Xi, H Zeng, D Li, S Xia, P Wang - Remote Sensing, 2015 - mdpi.com
Accurate land cover classification information is a critical variable for many applications. This
study presents a method to classify land cover using the fusion data of airborne discrete …

Full-waveform airborne laser scanning in vegetation studies—a review of point cloud and waveform features for tree species classification

K Koenig, B Höfle - Forests, 2016 - mdpi.com
In recent years, small-footprint full-waveform airborne laser scanning has become readily
available and established for vegetation studies in the fields of forestry, agriculture and …