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 …

An intensity-based stochastic model for terrestrial laser scanners

D Wujanz, M Burger, M Mettenleiter, F Neitzel - ISPRS Journal of …, 2017 - Elsevier
Up until now no appropriate models have been proposed that are capable to describe the
stochastic characteristics of reflectorless rangefinders-the key component of terrestrial laser …

[HTML][HTML] Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning

P Li, X Zhang, W Wang, H Zheng, X Yao, Y Tian… - International Journal of …, 2020 - Elsevier
Non-destructive and accurate estimation of crop biomass is crucial for the quantitative
diagnosis of growth status and timely prediction of grain yield. As an active remote sensing …

Transferability of models for estimating paddy rice biomass from spatial plant height data

N Tilly, D Hoffmeister, Q Cao, V Lenz-Wiedemann… - Agriculture, 2015 - mdpi.com
It is known that plant height is a suitable parameter for estimating crop biomass. The aim of
this study was to confirm the validity of spatial plant height data, which is derived from …

The use of terrestrial LiDAR to monitor crop growth and account for within-field variability of crop coefficients and water use

AG El-Naggar, B Jolly, CB Hedley, D Horne… - … and Electronics in …, 2021 - Elsevier
Monitoring the spatio-temporal distribution of crop height and biomass is important for crop
management in terms of applying irrigation, fertilizers and pesticides. This paper reports the …

Evaluation of orthomosics and digital surface models derived from aerial imagery for crop type mapping

M Wu, C Yang, X Song, WC Hoffmann, W Huang… - Remote Sensing, 2017 - mdpi.com
Orthomosics and digital surface models (DSM) derived from aerial imagery, acquired by
consumer-grade cameras, have the potential for crop type mapping. In this study, a novel …

[HTML][HTML] Uncertainty sources affecting operational efficiency of ML algorithms in UAV-based precision agriculture: A 2013–2020 systematic review

R Derraz, FM Muharam, NA Jaafar - AIMS Agriculture and Food, 2023 - aimspress.com
Conventional methods of data sampling in agriculture are time consuming, labor intensive,
destructive, subject to human error and affected by field conditions. Thus, remote sensing …

Toward an automated low-cost three-dimensional crop surface monitoring system using oblique stereo imagery from consumer-grade smart cameras

S Brocks, J Bendig, G Bareth - Journal of Applied Remote …, 2016 - spiedigitallibrary.org
Crop surface models (CSMs) representing plant height above ground level are a useful tool
for monitoring in-field crop growth variability and enabling precision agriculture applications …

Comparison of Carbon Dioxide (CO2) Fluxes between Conventional and Conserved Irrigated Rice Paddy Fields in Myanmar

S Min, M Rulík - Sustainability, 2020 - mdpi.com
Rice (Oryza sativa. L.), a major food crop widely grown in Myanmar, is the most prominent
cause of greenhouse gas (GHG) emissions in agriculture. Moreover, as a result of …

Multi-index fuzzy comprehensive evaluation model with information entropy of alfalfa salt tolerance based on LiDAR data and hyperspectral image data

J Zhang, A Zhang, Z Liu, W He, S Yang - Frontiers in Plant Science, 2023 - frontiersin.org
Rapid, non-destructive and automated salt tolerance evaluation is particularly important for
screening salt-tolerant germplasm of alfalfa. Traditional evaluation of salt tolerance is mostly …