A review of deep learning in multiscale agricultural sensing
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …
increasing pressure on global agricultural production. The challenge of increasing crop yield …
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 …
Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …
timely estimation of its yield can inform precision management decisions. However …
UAVs challenge to assess water stress for sustainable agriculture
Unmanned aerial vehicles (UAVs) present an exciting opportunity to monitor crop fields with
high spatial and temporal resolution remote sensing capable of improving water stress …
high spatial and temporal resolution remote sensing capable of improving water stress …
Management of crop water under drought: a review
Drought is a predominant cause of low yields worldwide. There is an urgent need for more
water efficient crop** systems facing large water consumption of irrigated agriculture and …
water efficient crop** systems facing large water consumption of irrigated agriculture and …
Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence
In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to
develop a technique for detecting different disease development stages (asymptomatic …
develop a technique for detecting different disease development stages (asymptomatic …
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 …
Recent advances in crop water stress detection
SO Ihuoma, CA Madramootoo - Computers and Electronics in Agriculture, 2017 - Elsevier
In order to meet the demand for increased global food production under limited water
resources, implementation of suitable irrigation scheduling technique is crucial, particularly …
resources, implementation of suitable irrigation scheduling technique is crucial, particularly …
Corn grain yield estimation from vegetation indices, canopy cover, plant density, and a neural network using multispectral and RGB images acquired with unmanned …
Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …
plant density, available water, nutrients, and planting date; these are the main factors that …
Development of spectral indices for detecting and identifying plant diseases
Spectral vegetation indices (SVIs) have been shown to be useful for an indirect detection of
plant diseases. However, these indices have not been evaluated to detect or to differentiate …
plant diseases. However, these indices have not been evaluated to detect or to differentiate …