Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial …

KC Sumesh, S Ninsawat, J Som-Ard - Computers and Electronics in …, 2021 - Elsevier
Estimation of yield is a major challenge in the production of many agricultural crops,
including sugarcane. Mapping the spatial variability of plant height (PH) and the stalk …

Modified red blue vegetation index for chlorophyll estimation and yield prediction of maize from visible images captured by UAV

Y Guo, H Wang, Z Wu, S Wang, H Sun, J Senthilnath… - Sensors, 2020 - mdpi.com
The vegetation index (VI) has been successfully used to monitor the growth and to predict
the yield of agricultural crops. In this paper, a long-term observation was conducted for the …

[HTML][HTML] Estimates of maize plant density from UAV RGB images using faster-RCNN detection model: Impact of the spatial resolution

K Velumani, R Lopez-Lozano, S Madec, W Guo… - Plant …, 2021 - spj.science.org
Early-stage plant density is an essential trait that determines the fate of a genotype under
given environmental conditions and management practices. The use of RGB images taken …

Remote and proximal sensing-derived spectral indices and biophysical variables for spatial variation determination in vineyards

N Darra, E Psomiadis, A Kasimati, A Anastasiou… - Agronomy, 2021 - mdpi.com
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring,
and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in …

Assessing the influence of UAV altitude on extracted biophysical parameters of young oil palm

R Avtar, SA Suab, MS Syukur, A Korom, DA Umarhadi… - Remote Sensing, 2020 - mdpi.com
The information on biophysical parameters—such as height, crown area, and vegetation
indices such as the normalized difference vegetation index (NDVI) and normalized …

[HTML][HTML] Evaluation of tillage & fertilization in Carthamus tinctorius L. using remote sensing

G Papadopoulos, A Mavroeidis, I Roussis… - Smart Agricultural …, 2023 - Elsevier
The present study aimed to assess the efficacy of slow-release fertilization and the tillage on
the performance of Carthamus tinctorius L. apply via the utilization of the Normalized …

Drone RGB images as a reliable information source to determine legumes establishment success

L Parra, D Mostaza-Colado, S Yousfi, JF Marin… - Drones, 2021 - mdpi.com
The use of drones in agriculture is becoming a valuable tool for crop monitoring. There are
some critical moments for crop success; the establishment is one of those. In this paper, we …

Fusion of Multimodal Imaging and 3D Digitization Using Photogrammetry

R Ramm, P de Dios Cruz, S Heist, P Kühmstedt… - Sensors, 2024 - mdpi.com
Multimodal sensors capture and integrate diverse characteristics of a scene to maximize
information gain. In optics, this may involve capturing intensity in specific spectra or …

UAV-g 2019: Unmanned aerial vehicles in geomatics

F Nex - 2019 - mdpi.com
Unmanned aerial vehicle in geomatics (UAV-g) is a well-established scientific event
dedicated to UAVs in geomatics and remote sensing. In the different editions of the journal …

Thermal imaging to monitor soil and canopy temperature under mulching and natural soil cover conditions

G Piazzoli - 2022 - repository.utl.pt
The Mediterranean viticulture is increasingly exposed to more severe and frequent heat
waves and droughts. Therefore, short to medium-term adaptation strategies are needed to …