A comprehensive review of remote sensing platforms, sensors, and applications in nut crops

H Jafarbiglu, A Pourreza - Computers and Electronics in Agriculture, 2022 - Elsevier
Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …

Machine learning an intelligent approach in process industries: A perspective and overview

N Khan, SA Ammar Taqvi - ChemBioEng Reviews, 2023 - Wiley Online Library
The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …

Retrieving SPAD values of summer maize using UAV hyperspectral data based on multiple machine learning algorithm

B Sudu, G Rong, S Guga, K Li, F Zhi, Y Guo, J Zhang… - Remote Sensing, 2022 - mdpi.com
Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the
chlorophyll content of summer maize is of great significance for crop growth monitoring …

Prediction of the nitrogen, phosphorus and potassium contents in grape leaves at different growth stages based on UAV multispectral remote sensing

X Peng, D Chen, Z Zhou, Z Zhang, C Xu, Q Zha… - Remote Sensing, 2022 - mdpi.com
The rapid and accurate acquisition of nitrogen, phosphorus and potassium nutrient contents
in grape leaves is critical for improving grape yields and quality and for industrial …

Estimation of apple tree leaf chlorophyll content based on machine learning methods

N Ta, Q Chang, Y Zhang - Remote Sensing, 2021 - mdpi.com
Leaf chlorophyll content (LCC) is one of the most important factors affecting photosynthetic
capacity and nitrogen status, both of which influence crop harvest. However, the …

Impact of sun-view geometry on canopy spectral reflectance variability

H Jafarbiglu, A Pourreza - ISPRS Journal of Photogrammetry and Remote …, 2023 - Elsevier
UAS-based remote sensing has been rapidly growing in numerous fields, including
agriculture and environmental studies. However, the lack of a practical and reliable …

Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: A comparison with traditional machine learning …

D Yu, Y Zha, Z Sun, J Li, X Jin, W Zhu, J Bian, L Ma… - Precision …, 2023 - Springer
Accurate estimation of above-ground biomass (AGB) plays a significant role in
characterizing crop growth status. In precision agriculture area, a widely-used method for …

Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

L Costa, S Kunwar, Y Ampatzidis, U Albrecht - Precision agriculture, 2022 - Springer
Nutrient assessment of plants, a key aspect of agricultural crop management and varietal
development programs, traditionally is time demanding and labor-intensive. This study …

Eco-hydrodynamic characterization of vegetated flows derived by UAV-based imagery

GFC Lama, M Crimaldi, A De Vivo… - … on Metrology for …, 2021 - ieeexplore.ieee.org
The quantitative assessment of the role of riverine and riparian vegetation biomass on the
effects of plants–water flow interaction in vegetated streams constitutes the main purpose of …

Automated grapevine cultivar identification via leaf imaging and deep convolutional neural networks: a proof-of-concept study employing primary iranian varieties

A Nasiri, A Taheri-Garavand, D Fanourakis, YD Zhang… - Plants, 2021 - mdpi.com
Extending over millennia, grapevine cultivation encompasses several thousand cultivars.
Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring …