Global navigation satellite systems as state-of-the-art solutions in precision agriculture: A review of studies indexed in the web of science
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However …
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 …
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 …
health, assessing the impact of environmental factors on vegetation, and supporting …
Forecasting corn NDVI through AI-based approaches using sentinel 2 image time series
Precision Agriculture (PA) has revolutionized crop management by leveraging information
technology, satellite positioning data, and remote sensing. One crucial component in PA …
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 …
measure vegetation in agriculture and create classified prescription maps used for several …
Open remote sensing data in digital soil organic carbon mapping: a review
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 …
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
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 …
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
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 …
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 …
and machine learning, has revolutionized agricultural practices, particularly for corn yield …
[HTML][HTML] Functional phenotyping: understanding the dynamic response of plants to drought stress
Drought stress, exacerbated by climate change, presents a critical global challenge
characterized by increasingly severe and prolonged drought events. This phenomenon …
characterized by increasingly severe and prolonged drought events. This phenomenon …