[HTML][HTML] Complementary use of ground-based proximal sensing and airborne/spaceborne remote sensing techniques in precision agriculture: A systematic review

A Alexopoulos, K Koutras, SB Ali, S Puccio, A Carella… - Agronomy, 2023 - mdpi.com
As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

[HTML][HTML] An integrated data-driven approach to monitor and estimate plant-scale growth using UAV

P Vigneault, J Lafond-Lapalme, A Deshaies… - ISPRS Open Journal of …, 2023 - Elsevier
UAV-mounted sensors can be used to estimate crop biophysical traits, offering an alternative
to traditional field scouting. However, the high temporal resolution offered by UAV platforms …

UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review

P Zambrano, F Calderon, H Villegas… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Crop monitoring and diagnosis are crucial for efficient agricultural production, and
unmanned aerial vehicle (UAV) Remote Sensing can assist in achieving this goal. This …

[HTML][HTML] Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View

C Weber, M Eggert, J Rodrigo-Comino, T Udelhoven - Remote Sensing, 2022 - mdpi.com
Since unmanned aerial vehicles (UAVs) have been established in geoscience as a key and
accessible tool, a wide range of applications are currently being developed. However, not …

Construction of Remote Sensing Model of Fresh Corn Biomass Based on Neural Network

J Chen, H Zhang, Y Bian, X Li… - Computational Intelligence …, 2022 - Wiley Online Library
Corn has a high yield and is widely used. Therefore, developing corn production and
accurately estimating corn biomass yield are of great significance to improving people's …

[HTML][HTML] Quantitative Evaluation of Wear Stress Due to Traffic in Zoysia Japonica cv. 'Zenith' Using Non-Destructive RGB Imagery Analysis

JG Jung, ES Jeong, EJ Jin, JH Yoon, KS Jeon… - Korean Journal of …, 2023 - korseaj.org
The RGB (red, green, and blue) imagery analysis is an important remote sensing tool, which
estimates the effect of environmental stress on turfgrass growth and physiology. Therefore …

[PDF][PDF] 비파괴적RGB 이미지분석을활용한들잔디'제니스'에서의답압으로인한마모스트레스정량적분석

정재경, 정은설, 진언주, 윤준혁, 전권석… - 한국환경농 …, 2023 - pdfs.semanticscholar.org
The RGB (red, green, and blue) imagery analysis is an important remote sensing tool, which
estimates the effect of environmental stress on turfgrass growth and physiology. Therefore …

[引用][C] The use of Unmanned Aerial Vehicles (UAV) remotely sensed data and machine learning techniques to predict maize yield.

CM Dlamini - 2024