Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges

P Velusamy, S Rajendran, RK Mahendran, S Naseer… - Energies, 2021 - mdpi.com
Agriculture is the primary source of income in developing countries like India. Agriculture
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

J Segarra, ML Buchaillot, JL Araus, SC Kefauver - Agronomy, 2020 - mdpi.com
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 …

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 …

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

PJ Zarco-Tejada, C Camino, PSA Beck, R Calderon… - Nature Plants, 2018 - nature.com
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 …

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 …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
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 …

Visible and near-infrared reflectance techniques for diagnosing plant physiological status

J Peñuelas, I Filella - Trends in plant science, 1998 - cell.com
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 …

Opportunities and limitations for image-based remote sensing in precision crop management

MS Moran, Y Inoue, EM Barnes - Remote sensing of Environment, 1997 - Elsevier
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 …

Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection

L Tian, B Xue, Z Wang, D Li, X Yao, Q Cao… - Remote sensing of …, 2021 - Elsevier
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 …

Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy

PJ Zarco-Tejada, A Berjón, R Lopez-Lozano… - Remote Sensing of …, 2005 - Elsevier
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 …