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Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges
Agriculture is the primary source of income in develo** countries like India. Agriculture
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …
Remote sensing for precision agriculture: Sentinel-2 improved features and applications
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …
attention. The improved temporal, spatial, and spectral resolution of the European Space …
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
A Lowe, N Harrison, AP French - Plant methods, 2017 - Springer
This review explores how imaging techniques are being developed with a focus on
deployment for crop monitoring methods. Imaging applications are discussed in relation to …
deployment for crop monitoring methods. Imaging applications are discussed in relation to …
Drones: innovative technology for use in precision pest management
FH Iost Filho, WB Heldens, Z Kong… - Journal of economic …, 2020 - academic.oup.com
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …
outbreak detection and treatment application are inherent to effective pest management …
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
Plant pathogens cause significant losses to agricultural yields and increasingly threaten
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Visible and near-infrared reflectance techniques for diagnosing plant physiological status
When light strikes a leaf, part of the light spectrum is reflected towards the observer. Plant
reflectance is governed by leaf surface properties and internal structure, as well as by the …
reflectance is governed by leaf surface properties and internal structure, as well as by the …
Opportunities and limitations for image-based remote sensing in precision crop management
This review addresses the potential of image-based remote sensing to provide spatially and
temporally distributed information for precision crop management (PCM). PCM is an …
temporally distributed information for precision crop management (PCM). PCM is an …
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
Rice blast is considered as the most destructive disease that threatens global rice
production and causes severe economic losses worldwide. A detection of rice blast infection …
production and causes severe economic losses worldwide. A detection of rice blast infection …
Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
Methods for chlorosis detection and physiological condition monitoring in Vitis vinifera L.
through accurate chlorophyll a and b content (Cab) estimation at leaf and canopy levels are …
through accurate chlorophyll a and b content (Cab) estimation at leaf and canopy levels are …