Obtaining Weather Data for Input to Crop Disease-Warning Systems: Leaf Wetness Duration as a Case Study

Scientia Agricola - Brazil
doi 10.1590/s0103-90162008000700013
Full Text
Abstract

Available in full text

Date
Authors
Publisher

FapUNIFESP (SciELO)

Related search

Forecasting Site-Specific Leaf Wetness Duration for Input to Disease-Warning Systems

Plant Disease
Plant ScienceAgronomyCrop Science
2006English

Comparison of Measured and Modelled Wetness Duration as Inputs to a Grape Disease Model

New Zealand Plant Protection
HorticultureInsect ScienceAgronomyCrop Science
2015English

Effects of Light, Temperature, and Leaf Wetness Duration on Daylily Rust

Plant Disease
Plant ScienceAgronomyCrop Science
2003English

Software to Facilitate Remote Sensing Data Access for Disease Early Warning Systems

Environmental Modelling and Software
Ecological ModelingEnvironmental EngineeringSoftware
2015English

Leaf Wetness Within a Lily Canopy

Meteorological Applications
Atmospheric Science
2005English

Experimental Methods for Obtaining PERCOL Model Input and Verification Data

1973English

A Novel Low-Cost Smart Leaf Wetness Sensor

Computers and Electronics in Agriculture
HorticultureForestryCrop ScienceAnimal ScienceComputer Science ApplicationsZoologyAgronomy
2017English

Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study

Geosciences (Switzerland)
EarthPlanetary Sciences
2019English

Trends Integration Process as Input Data for Kansei Engineering Systems

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy