Global research trends for unmanned aerial vehicle remote sensing application in wheat crop monitoring

L Nduku, C Munghemezulu… - Geomatics, 2023 - mdpi.com
Wheat is an important staple crop in the global food chain. The production of wheat in many
regions is constrained by the lack of use of advanced technologies for wheat monitoring …

Integrating the textural and spectral information of UAV hyperspectral images for the improved estimation of rice aboveground biomass

T Xu, F Wang, L Xie, X Yao, J Zheng, J Li, S Chen - Remote Sensing, 2022 - mdpi.com
The accurate and rapid estimation of the aboveground biomass (AGB) of rice is crucial to
food security. Unmanned aerial vehicles (UAVs) mounted with hyperspectral sensors can …

Monitoring and zoning soybean maturity using UAV remote sensing

W Shi, Y Li, W Zhang, C Yu, C Zhao, J Qiu - Industrial Crops and Products, 2024 - Elsevier
Timely and accurate determination of the maturity status during the soybean harvest period
is crucial for devising strategic harvesting plans, significantly enhancing the intelligent …

Using UAV multispectral photography to discriminate plant species in a seep wetland of the Fynbos Biome

K Musungu, T Dube, J Smit, M Shoko - Wetlands Ecology and …, 2024 - Springer
Wetlands harbour a wide range of vital ecosystems. Hence, mapping wetlands is essential
to conserving the ecosystems that depend on them. However, the physical nature of …

Damage assessment due to wheat lodging using UAV-based multispectral and thermal imageries

S Biswal, C Chatterjee, DR Mailapalli - Journal of the Indian society of …, 2023 - Springer
Lodging in wheat can reduce grain output both in terms of quality and quantity. Accurate and
timely assessment of lodged areas as well as a reduction in yield, is a crucial challenge for …

Phenotyping agronomic and physiological traits in peanut under mid‐season drought stress using UAV‐based hyperspectral imaging and machine learning

K Bagherian, R Bidese‐Puhl, Y Bao… - The Plant Phenome …, 2023 - Wiley Online Library
Agronomic and physiological traits in peanut (Arachis hypogaea) are important to breeders
for selecting high‐yielding and resilient genotypes. However, direct measurement of these …

Yield Prediction Using NDVI Values from GreenSeeker and MicaSense Cameras at Different Stages of Winter Wheat Phenology

S Zsebő, L Bede, G Kukorelli, IM Kulmány, G Milics… - Drones, 2024 - mdpi.com
This work aims to compare and statistically analyze Normalized Difference Vegetation Index
(NDVI) values provided by GreenSeeker handheld crop sensor measurements and …

Assessment of Damage Due to Grain Discoloration Disease in Paddy Crop Using High-Resolution UAV Imagery

S Biswal, C Chatterjee, DR Mailapalli - Journal of the Indian Society of …, 2024 - Springer
Assessment of damage area and yield due to disease in paddy crop are required to be more
precise, quick, and inexpensive. Traditional and satellite approaches of damage …

[HTML][HTML] Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management

S Vélez, M Ariza-Sentís, M Panić, B Ivošević… - Smart Agricultural …, 2024 - Elsevier
Innovations in precision agriculture enhance complex tasks, reduce environmental impact,
and increase food production and cost efficiency. One of the main challenges is ensuring …

Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques

S Biswal, N Pathak, C Chatterjee… - Geocarto …, 2024 - Taylor & Francis
Multispectral (MS) images offer essential spectral information for monitoring paddy crops'
Aboveground-biomass (AGB), but efficiency decreases due to background materials and …