Image-based obstacle detection methods for the safe navigation of unmanned vehicles: A review

S Badrloo, M Varshosaz, S Pirasteh, J Li - Remote Sensing, 2022 - mdpi.com
Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends

E Avşar, MN Mowla - Ad Hoc Networks, 2022 - Elsevier
IoT based smart agriculture systems are important for efficient usage of lands, water, and
energy resources. Wireless communication protocols constitute a critical part of smart …

Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images

O Ilniyaz, Q Du, H Shen, W He, L Feng, H Azadi… - … and Electronics in …, 2023 - Elsevier
Timely and accurate map** of leaf area index (LAI) in vineyards plays an important role for
management choices in precision agricultural practices. However, only a little work has …

Flood risk assessment through rapid urbanization LULC change with destruction of urban green infrastructures based on NASA Landsat time series data: A case of …

KJ Ghalehteimouri, FC Ros, S Rambat - Ecological Frontiers, 2024 - Elsevier
Kuala Lumpur, as one of the fastest growing cities in the world, is facing significant negative
impacts on its urban ecosystem services (UESs) due to rapid urbanization. Among the …

Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage

V Lukas, I Huňady, A Kintl, J Mezera… - Remote Sensing, 2022 - mdpi.com
Suitability of the vegetation indices of normalized difference vegetation index (NDVI), blue
normalized difference vegetation index (BNDVI), and normalized difference yellowness …

Differentiating nutritional and water statuses in Hass avocado plantations through a temporal analysis of vegetation indices computed from aerial RGB images

I Salazar-Reque, D Arteaga, F Mendoza… - … and Electronics in …, 2023 - Elsevier
Maximizing crop production efficiently and sustainably through plant health monitoring is key
for global food security. Monitoring large areas with remote sensing technologies such as …

The effect of controlled tile drainage on growth and grain yield of spring barley as detected by UAV images, yield map and soil moisture content

R Duffková, L Poláková, V Lukas, P Fučík - Remote Sensing, 2022 - mdpi.com
Controlled tile drainage (CTD) practices are a promising tool for improving water balance,
water quality and increasing crop yield by raising shallow groundwater level and capillary …

The Second Derivative of the NDVI Time Series as an Estimator of Fresh Biomass: A Case Study of Eight Forage Associations Monitored via UAS

N Sánchez, J Plaza, M Criado, R Pérez-Sánchez… - Drones, 2023 - mdpi.com
The estimation of crop yield is a compelling and highly relevant task in the scenario of the
challenging climate change we are facing. With this aim, a reinterpretation and a …

Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging

J Janoušek, P Marcoň, P Dohnal, V Jambor… - Remote Sensing, 2023 - mdpi.com
Estimating the optimum harvest time and yield embodies an essential food security factor.
Vegetation indices have proven to be an effective tool for widescale in-field plant health …

UAV multispectral imaging potential to monitor and predict agronomic characteristics of different forage associations

J Plaza, M Criado, N Sánchez, R Pérez-Sánchez… - Agronomy, 2021 - mdpi.com
The capability of UAVs imagery to monitor and predict the evolution of several forage
associations was assessed during the whole growing cycle of 2019–20. For this purpose …