Results 31 to 40 of about 1,983 (164)

Análisis de los índices de vegetación NDVI, GNDVI y NDRE para la caracterización del cultivo de café (Coffea arabica) [PDF]

open access: yes, 2020
Recently, vegetation indices have been used in order to determine the type of cover, with the interest of its temporal variation evaluation, or with the aim of determining the crops health status from estimation of some characteristics such as plant ...
Hoyos García, Javier   +3 more
core  

Monitoring growth and predicting crop yield through UAV-mounted spectral camera analysis of the interplay between soil compaction and vegetation index [PDF]

open access: yesEmirates Journal of Food and Agriculture
This paper aims to introduce a prediction of crop yield based on relationship between soil compaction and vegetation index. The soil compaction increasingly with depth, which was calculated manuallyunevenly distributed in the field.
Bui Van Huu   +2 more
doaj   +3 more sources

Identification of new cold tolerant Zoysia grass species using high-resolution RGB and multi-spectral imaging

open access: yesScientific Reports, 2023
Zoysia grass (Zoysia spp.) is the most widely used warm-season turf grass in Korea due to its durability and resistance to environmental stresses. To develop new longer-period greenness cultivars, it is essential to screen germplasm which maintains the ...
Ki-Bon Ku   +4 more
doaj   +1 more source

Monitoring of three stages of paddy growth using multispectral vegetation index derived from UAV images

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2023
Paddy cultivation in Malaysia plays a crucial role in food production, with a focus on improving crop quality and quantity. With current national self-sufficiency levels ranging between 67 and 70%, the Malaysian government intends to produce higher ...
Samera Samsuddin Sah   +4 more
doaj   +1 more source

Drought Risk in Mango and Avocado Orchards: Insights Into Plant Water Relations and Irrigation‐Related Agronomic Solutions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley   +1 more source

Normalized Difference Red-Edge Estimation With Modified DiscoGAN Model

open access: yesIEEE Access
Vegetation information is important to study the health and productivity of farmlands and forest ecosystems and investigate the types and severity of threats to them.
Hyeon-Beom Choi   +2 more
doaj   +1 more source

Precision agriculture for water saving: The case of processing tomato and table grape

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Agriculture faces increasing pressure to produce high‐quality food while reducing water use under intensifying climate change and water scarcity. This study compared sensor‐based precision irrigation, drone monitoring, and near‐infrared spectroscopy with conventional farmer management in table grape and processing tomato production systems.
Giuseppe Ferrara   +6 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin   +5 more
wiley   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román   +8 more
wiley   +1 more source

Differentiating between Nitrogen and Water Deficiency in Irrigated Maize Using a UAV-Based Multi-Spectral Camera

open access: yesAgronomy, 2020
The objective of this research was to determine if canopy reflectance measured by an Unmanned Aerial Vehicle (UAV) equipped with a 5-band multi-spectral camera can differentiate between water and nitrogen (N) deficiency in irrigated maize.
Taylor Becker   +3 more
doaj   +1 more source

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