Results 71 to 80 of about 279,161 (249)

Sugarcane mosaic and sorghum mosaic are caused by two different strains of Sugarcane mosaic virus in the Everglades Agricultural Area [PDF]

, 2019
Sugarcane mosaic virus (SCMV) infects sugarcane and other species in the family Poaceae. In the Everglades Agricultural Area (EAA) of south Florida, we detected SCMV in Columbus grass (Sorghum almum), maize (Zea mays), sorghum (Sorghum bicolor), St ...
Hincapie, Martha, Mollov, Dimitre S., Rott, Philippe, Sood, Sushma   +3 more
core  

Sugarcane Cultivars Descriptive Fact Sheet: CP 96-1252, CP 01-1372 and CP 00-1101

EDIS, 2017
Sugarcane cultivars CP 96-1252, CP 01-1372 and CP 00-1101 are the top three commercial sugarcane cultivars in Florida occupying >43% of total sugarcane area (400,551 acres) (VanWeelden et al. 2016).
Hardev Sandhu, Wayne Davidson
doaj   +5 more sources

Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review [PDF]

Comput. Electron. Agric. 2025, 229, 109686
Research into large-scale crop monitoring has flourished due to increased accessibility to satellite imagery. This review delves into previously unexplored and under-explored areas in sugarcane health monitoring and disease/pest detection using satellite-based spectroscopy and Machine Learning (ML). It discusses key considerations in system development,
arxiv   +1 more source

Detection of Sugarcane yellow leaf virus and Sugarcane mosaic virus in arthropods collected from corn, sorghum and sugarcane in Florida [PDF]

, 2019
In Florida, sugarcane (Saccharum spp.), Columbus grass (Sorghum almum), and grain sorghum (S. bicolor) are three hosts of sugarcane yellow leaf virus (SCYLV) and sugarcane mosaic virus (SCMV).
Boukari, Wardatou, Hincapie, Martha, Rott, Philippe, Sood, Sushma, Tang, Lihua   +4 more
core  

Predictive Modeling of Brown Rust of Sugarcane Based on Temperature and Relative Humidity in Florida.

Phytopathology, 2021
Logistic regression models were developed from five years (2014-2018) of disease severity and weather data in an attempt to predict brown rust of sugarcane at the Everglades Research and Education Center (EREC) in Belle Glade, Florida.
Bhim Chaulagain, I. Small, J. Shine, R. Raid, P. Rott   +4 more
semanticscholar   +1 more source

Threats to cycad biocultural heritage in the Amami Islands, Japan

Plant Species Biology, EarlyView.
The central point we seek to frame in this article is that the increasing infestations of cycad aulacaspis scale in the Amami guntō existentially threaten not only the islands' sotetsu but rather entire cultural systems and natural ecologies that have developed around these plants.
Joshua D. Englehardt, Michael D. Carrasco, José Said Gutiérrez‐Ortega, Benjamin E. Deloso, Nobuyuki Matsubara   +4 more
wiley   +1 more source

Genome sequencing of the sugarcane orange rust pathogen Puccinia kuehnii [PDF]

, 2019
Puccinia kuehnii, the causal agent of orange rust, is a fungal pathogen that causes damaging losses to the sugarcane crop in Florida since 2007. During plant infection, rust fungi deliver effector proteins into host tissues using a specialized feeding ...
Cano, L.M., Cardenas, D.E., Comstock, Jack C., Hincapie, Martha, Huguet-Tapia, J., Oppelaar, T.S., Rott, Philippe, Sood, Sushma   +7 more
core  

A yield prediction model for Florida sugarcane

Agricultural Systems, 1982
Abstract This paper shows how to move from the description of the growing of a crop, including most of the crop-environment interactions, to the development of regression equations intended to predict sugarcane yields. Equations to predict tonnes and per cent of recoverable sugar were estimated for south Florida.
University of Florida, Agricultural Research and Education Center, Belle Glade, Florida, USA ( host institution ), Alvarez, Jose ( author ), Crane, Donald R. ( author ), Spreen, Thomas H. ( author ), Kidder, Gerald ( author )   +4 more
openaire   +3 more sources

Europe Under Siege? Predicting Fall Armyworm (Spodoptera frugiperda) Invasion Risk Based on Climatic Niche Shift and Species Distribution Models

Diversity and Distributions, Volume 31, Issue 5, May 2025.
ABSTRACT Aim Invasive species pose a major threat to biodiversity and ecosystem functioning. Understanding how invasive species change their niche during invasion is fundamental for predicting their potential invasion risk in novel areas and environments.
Martina Kadoić Balaško, Filip Varga, Martina Temunović   +2 more
wiley   +1 more source

Generalizable semi-supervised learning method to estimate mass from sparsely annotated images [PDF]

arXiv, 2020
Mass flow estimation is of great importance to several industries, and it can be quite challenging to obtain accurate estimates due to limitation in expense or general infeasibility. In the context of agricultural applications, yield monitoring is a key component to precision agriculture and mass flow is the critical factor to measure.
arxiv