Automatic identification of diseases in grains crops through computational approaches: A review

R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

Disease cycle approach to plant disease prediction

ED De Wolf, SA Isard - Annu. Rev. Phytopathol., 2007 - annualreviews.org
Plant disease cycles represent pathogen biology as a series of interconnected stages of
development including dormancy, reproduction, dispersal, and pathogenesis. The …

Meta-analysis of yield response of hybrid field corn to foliar fungicides in the US Corn Belt

PA Paul, LV Madden, CA Bradley… - …, 2011 - Am Phytopath Society
The use of foliar fungicides on field corn has increased greatly over the past 5 years in the
United States in an attempt to increase yields, despite limited evidence that use of the …

AFLA-maize, a mechanistic model for Aspergillus flavus infection and aflatoxin B1 contamination in maize

P Battilani, MC Leggieri, V Rossi, P Giorni - Computers and Electronics in …, 2013 - Elsevier
A mechanistic weather-driven model was developed based on the infection cycle of
Aspergillus flavus on maize to predict the risk of aflatoxin contamination in field on a daily …

Crop damage, economic losses, and the economic damage threshold for northern corn leaf blight

RL De Rossi, FA Guerra, MC Plazas, EE Vuletic… - Crop Protection, 2022 - Elsevier
Northern corn leaf blight (NCLB), caused by Exserohilum turcicum (E. turcicum), is one of the
most common maize (Zea mays L.) diseases worldwide. To determine the crop damage and …

Predicting pre-planting risk of Stagonospora nodorum blotch in winter wheat using machine learning models

LK Mehra, C Cowger, K Gross… - Frontiers in plant …, 2016 - frontiersin.org
Pre-planting factors have been associated with the late-season severity of Stagonospora
nodorum blotch (SNB), caused by the fungal pathogen Parastagonospora nodorum, in …

Logistic regression modeling of cropping systems to predict fumonisin contamination in maize

P Battilani, A Pietri, C Barbano… - Journal of Agricultural …, 2008 - ACS Publications
The aims of this research were to monitor the presence of fumonisins in maize crops in
northern Italy over a 6 year period, to study the role of the cropping system on fumonisin …

AFLA-pistachio: Development of a mechanistic model to predict the aflatoxin contamination of pistachio nuts

MD Kaminiaris, M Camardo Leggieri, DI Tsitsigiannis… - Toxins, 2020 - mdpi.com
In recent years, very many incidences of contamination with aflatoxin B1 (AFB1) in pistachio
nuts have been reported as a major global problem for the crop. In Europe, legislation is in …

[HTML][HTML] Towards detecting crop diseases and pest by supervised learning

DC Corrales, JC Corrales… - Ingeniería y Universidad, 2015 - scielo.org.co
The climate change has caused threats to agricultural production; the extremes of
temperature and humidity, and other abiotic stresses are contributing factors to the etiology …

Testing the capability of spectral resolution of the new multispectral sensors on detecting the severity of grey leaf spot disease in maize crop

I Dhau, E Adam, O Mutanga, K Ayisi… - Geocarto …, 2018 - Taylor & Francis
In this study, we tested whether GLS field symptoms on maize can be detected using
hyperspectral data re-sampled to WorldView-2, Quickbird, RapidEye and Sentinel-2 …