[HTML][HTML] A review of neural networks in plant disease detection using hyperspectral data
This paper reviews advanced Neural Network (NN) techniques available to process
hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a …
hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a …
Lightweight inception networks for the recognition and detection of rice plant diseases
Deep learning is a hot research topic in image processing and computer vision. It has been
employed in many fields owing to the excellent performance. However, so far, deep learning …
employed in many fields owing to the excellent performance. However, so far, deep learning …
An investigation into machine learning regression techniques for the leaf rust disease detection using hyperspectral measurement
The complex impacts of disease stages and disease symptoms on spectral characteristics of
the plants lead to limitation in disease severity detection using the spectral vegetation …
the plants lead to limitation in disease severity detection using the spectral vegetation …
A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series …
Introduction Accurate and timely detection of plant stress is essential for yield protection,
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning
Some plant diseases can significantly reduce harvest, but their early detection in cultivation
may prevent those consequential losses. Conventional methods of diagnosing plant …
may prevent those consequential losses. Conventional methods of diagnosing plant …
Estimation of tea leaf blight severity in natural scene images
G Hu, K Wei, Y Zhang, W Bao, D Liang - Precision Agriculture, 2021 - Springer
Tea leaf blight (TLB) is a common tea disease seriously affecting the quality and yield of tea.
An accurate estimation of TLB severity can be used to guide tea farmers to reasonably spray …
An accurate estimation of TLB severity can be used to guide tea farmers to reasonably spray …
[Retracted] Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan
MSM Siddik, TE Ahmed… - Journal of …, 2023 - Wiley Online Library
Health digital GIS map provides a great solution for medical geographical distribution to
efficiently explore diseases and health services. In Sudan, tuberculosis disease is …
efficiently explore diseases and health services. In Sudan, tuberculosis disease is …
Detecting and map** root-knot nematode infection in coffee crop using remote sensing measurements
GD Martins, MLBT Galo… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Nematodes are a serious issue for coffee cultivation in Brazil. Because root infection by
nematodes induces spectral variation in leaves and defines a unique spatial configuration in …
nematodes induces spectral variation in leaves and defines a unique spatial configuration in …
Precision agriculture technologies for management of plant diseases
Abstract Plant diseases contribute 10–16% losses in global harvests each year, costing an
estimated US $220 billion. Abundant use of chemicals such as bactericides, fungicides, and …
estimated US $220 billion. Abundant use of chemicals such as bactericides, fungicides, and …
Leaf disease detection and recommendation of pesticides using convolution neural network
Crop production problems are common in India which severely effect rural farmers,
agriculture sector and the country's economy as a whole. In Crops leaf plays an important …
agriculture sector and the country's economy as a whole. In Crops leaf plays an important …