[HTML][HTML] A review of imaging techniques for plant disease detection
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …
factors affecting domestic market condition in any country. Agricultural production is also a …
Present and future scopes and challenges of plant pest and disease (P&D) monitoring: Remote sensing, image processing, and artificial intelligence perspectives
Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …
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 …
Automated recognition of optical image based potato leaf blight diseases using deep learning
Abstract The Potato crop (Solanum tuberosum L.) is one of the most important vegetable
food crop grown globally. The yield of potato crop is greatly hampered both in quality and …
food crop grown globally. The yield of potato crop is greatly hampered both in quality and …
Potato virus Y detection in seed potatoes using deep learning on hyperspectral images
Virus diseases are of high concern in the cultivation of seed potatoes. Once found in the
field, virus diseased plants lead to declassification or even rejection of the seed lots resulting …
field, virus diseased plants lead to declassification or even rejection of the seed lots resulting …
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons
Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In
crops, prior studies have generally been limited in scope, either to a small wavelength range …
crops, prior studies have generally been limited in scope, either to a small wavelength range …
Hyperspectral remote sensing of agriculture
Remote sensing is being increasingly used in different agricultural applications.
Hyperspectral remote sensing in large continuous narrow wavebands provides significant …
Hyperspectral remote sensing in large continuous narrow wavebands provides significant …
Evaluating late blight severity in potato crops using unmanned aerial vehicles and machine learning algorithms
This work presents quantitative prediction of severity of the disease caused by Phytophthora
infestans in potato crops using machine learning algorithms such as multilayer perceptron …
infestans in potato crops using machine learning algorithms such as multilayer perceptron …
In-field detection of Alternaria solani in potato crops using hyperspectral imaging
Automatic detection of early blight caused by Alternaria solani could promote a drastic
reduction in the consumption of plant protection agents and the related production losses. A …
reduction in the consumption of plant protection agents and the related production losses. A …
Non-destructive classification of defective potatoes based on hyperspectral imaging and support vector machine
Y Ji, L Sun, Y Li, J Li, S Liu, X Xie, Y Xu - Infrared Physics & Technology, 2019 - Elsevier
For the flaws of the traditonal manual selecting methods of potatoes classification, such as
low efficiency, high labor intensity, poor objectivity and easy to be mischecked, this paper …
low efficiency, high labor intensity, poor objectivity and easy to be mischecked, this paper …