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 develo** 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 …

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 …

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 …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 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 López-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 …