Results 21 to 30 of about 36,292 (261)

Estimating the Reduction in Cover Crop Vitality Followed by Pelargonic Acid Application Using Drone Imagery

open access: yesAgronomy, 2023
Cultivation of cover crops is a valuable practice in sustainable agriculture. In cover crop management, the method of desiccation is an important consideration, and one widely used method for this is the application of glyphosate.
Eliyeh Ganji   +2 more
doaj   +1 more source

UAV Hyperspectral Data Combined with Machine Learning for Winter Wheat Canopy SPAD Values Estimation

open access: yesRemote Sensing, 2023
Chlorophyll is an important indicator for monitoring crop growth and is vital for agricultural management. Therefore, rapid and accurate estimation of chlorophyll content is important for decision support in precision agriculture to accurately monitor ...
Qi Wang   +5 more
doaj   +1 more source

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

open access: yesCrop Journal, 2020
Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield. Biomass is also a key trait in increasing grain yield by crop breeding.
Xiuliang Jin   +4 more
doaj   +1 more source

Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries

open access: yesScientific Reports, 2022
Accurately obtaining the spatial distribution information of fruit tree planting is of great significance to the development of fruit tree growth monitoring, disease and pest control, and yield estimation.
Xin-Xing Zhou   +6 more
doaj   +1 more source

Effects of temporal, spatial, and elevational variation in bioclimatic indices on the NDVI of different vegetation types in Southwest China

open access: yesEcological Indicators, 2023
Under the background of global climate change, characterizing correlations between vegetation dynamics and bioclimatic indices (calculations based on temperature, precipitation, and reference evapotranspiration) are important for vegetation conservation ...
Hede Gong   +3 more
doaj   +1 more source

Crop Type Classification Using Vegetation Indices of RapidEye Imagery [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate,
M. Ustuner   +4 more
doaj   +1 more source

Potential of Satellite Spectral Resolution Vegetation Indices for Estimation of Canopy Chlorophyll Content of Field Crops: Mitigating Effects of Leaf Angle Distribution

open access: yesRemote Sensing, 2023
Accurate estimation of canopy chlorophyll content (CCC) is critically important for agricultural production management. However, vegetation indices derived from canopy reflectance are influenced by canopy structure, which limits their application across ...
Xiaochen Zou, Jun Jin, Matti Mõttus
doaj   +1 more source

Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

open access: yesSemina: Ciências Agrárias, 2019
The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion.
Adnane Beniaich   +4 more
doaj   +1 more source

Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data

open access: yesApplied Computing and Geosciences, 2020
Several remote sensing based indices have been developed for studying vegetation using varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar (GBN) district where the atmospheric condition is highly influenced by particulate
Shivangi S. Somvanshi, Maya Kumari
doaj   +1 more source

Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust

open access: yesRemote Sensing, 2022
Wheat stripe rust poses a serious threat to wheat production. An effective prediction method is important for food security. In this study, we developed a prediction model for wheat stripe rust based on vegetation indices and meteorological features ...
Chao Ruan   +7 more
doaj   +1 more source

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