Global navigation satellite systems as state-of-the-art solutions in precision agriculture: A review of studies indexed in the web of science

D Radočaj, I Plaščak, M Jurišić - Agriculture, 2023 - mdpi.com
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However …

Application of visible/near-infrared spectroscopy and hyperspectral imaging with machine learning for high-throughput plant heavy metal stress phenotyping: A review

Y Zhai, L Zhou, H Qi, P Gao, C Zhang - Plant Phenomics, 2023 - spj.science.org
Heavy metal pollution is becoming a prominent stress on plants. Plants contaminated with
heavy metals undergo changes in external morphology and internal structure, and heavy …

Beyond vegetation: A review unveiling additional insights into agriculture and forestry through the application of vegetation indices

S Vélez, R Martínez-Peña, D Castrillo - J, 2023 - mdpi.com
Vegetation indices (VIs) have long been a crucial tool for monitoring plant growth and
health, assessing the impact of environmental factors on vegetation, and supporting …

Forecasting corn NDVI through AI-based approaches using sentinel 2 image time series

A Farbo, F Sarvia, S De Petris, V Basile… - ISPRS Journal of …, 2024 - Elsevier
Precision Agriculture (PA) has revolutionized crop management by leveraging information
technology, satellite positioning data, and remote sensing. One crucial component in PA …

An open-source machine-learning application for predicting pixel-to-pixel NDVI regression from RGB calibrated images

L Moscovini, L Ortenzi, F Pallottino, S Figorilli… - … and Electronics in …, 2024 - Elsevier
Abstract The Normalized Difference Vegetation Index (NDVI) is the most common index to
measure vegetation in agriculture and create classified prescription maps used for several …

Open remote sensing data in digital soil organic carbon mapping: a review

D Radočaj, M Gašparović, M Jurišić - Agriculture, 2024 - mdpi.com
This review focuses on digital soil organic carbon (SOC) mapping at regional or national
scales in spatial resolutions up to 1 km using open data remote sensing sources …

Using remote sensing vegetation indices for the discrimination and monitoring of agricultural crops: a critical review

R Vidican, A Mălinaș, O Ranta, C Moldovan, O Marian… - Agronomy, 2023 - mdpi.com
The agricultural sector is currently confronting multifaceted challenges such as an increased
food demand, slow adoption of sustainable farming, a need for climate-resilient food …

Comparing nadir and oblique thermal imagery in UAV-based 3D crop water stress index applications for precision viticulture with LiDAR validation

T Buunk, S Vélez, M Ariza-Sentís, J Valente - Sensors, 2023 - mdpi.com
Unmanned Aerial Vehicle (UAV) thermal imagery is rapidly becoming an essential tool in
precision agriculture. Its ability to enable widespread crop status assessment is increasingly …

Corn yield prediction in site-specific management zones using proximal soil sensing, remote sensing, and machine learning approach

BB Bantchina, M Qaswar, S Arslan, Y Ulusoy… - … and Electronics in …, 2024 - Elsevier
The integration of advanced technologies, such as soil proximal sensing, remote sensing,
and machine learning, has revolutionized agricultural practices, particularly for corn yield …

[HTML][HTML] Functional phenotyping: understanding the dynamic response of plants to drought stress

S Mansoor, YS Chung - Current Plant Biology, 2024 - Elsevier
Drought stress, exacerbated by climate change, presents a critical global challenge
characterized by increasingly severe and prolonged drought events. This phenomenon …