Results 21 to 30 of about 317,593 (254)

Optimised dry processing of protein concentrates from Australian pulses: A comparative study of faba bean, yellow pea and red lentil seed material

open access: yesLegume Science, 2023
Milling and air classification settings were optimised for production of protein concentrates from Australian faba bean, yellow pea and red lentil seed material. Pulses were milled to flour of three progressively finer particle size distributions (D50 of
Daniel J. Skylas   +7 more
doaj   +1 more source

The behavior of Three Rice Varieties against Steneotarsonemus spinki Smiley in Vertientes, Camagüey

open access: yesAgrisost, 2020
Context: In Cuba, the proliferation and spread of rice acarid Steneotarsonemus spinki Smiley, is one of the main hindrances to rice productivity growth.
Arelys Valido Tomes   +4 more
doaj   +3 more sources

Classifying grains using behaviour-informed machine learning

open access: yesScientific Reports, 2022
Sorting granular materials such as ores, coffee beans, cereals, gravels and pills is essential for applications in mineral processing, agriculture and waste recycling.
Sudip Laudari   +2 more
doaj   +1 more source

An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse

open access: yesPlants, 2023
Advanced plant phenotyping techniques to measure biophysical traits of crops are helping to deliver improved crop varieties faster. Phenotyping of plants using different sensors for image acquisition and its analysis with novel computational algorithms ...
Neelesh Sharma   +3 more
doaj   +1 more source

Effectiveness of Species- and Trichothecene-Specific Primers in Monitoring Fusarium graminearum Species Complex in Small Grain–Pea Intercropping Systems

open access: yesAgriculture, 2022
Tracking the distribution of Fusarium species and the detection of changes in toxin production provides epidemiological information that is essential for Fusarium head blight (FHB) management.
Vesna Župunski   +6 more
doaj   +1 more source

Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery

open access: yesRemote Sensing, 2021
Optimal crop emergence is an important trait in crop breeding for genotypic screening and for achieving potential growth and yield. Emergence is conventionally quantified manually by counting the sub-sections of field plots or scoring; these are less ...
Bikram P. Banerjee   +3 more
doaj   +1 more source

CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements

open access: yesBiosensors, 2021
The phenotypic characterization of crop genotypes is an essential, yet challenging, aspect of crop management and agriculture research. Digital sensing technologies are rapidly advancing plant phenotyping and speeding-up crop breeding outcomes.
Bikram Pratap Banerjee   +2 more
doaj   +1 more source

Prevalence of IgE Antibodies to Grain and Grain Dust in Grain Elevator Workers [PDF]

open access: yesEnvironmental Health Perspectives, 1986
IgE-mediated allergic reactions have been postulated to contribute to respiratory reactions seen in workers exposed to grain dusts. In an attempt better to define the prevalence of IgE antibodies in workers exposed to grain dusts, we performed the radioallergosorbent test (RAST) on worker sera using both commercial allergens prepared from grain and ...
D M, Lewis, P A, Romeo, S A, Olenchock
openaire   +2 more sources

The behaviour of free-flowing granular intruders

open access: yesEPJ Web of Conferences, 2017
Particle shape affects both the quasi-static and dynamic behaviour of granular media. There has been significant research devoted to the flowability of systems of irregularly shaped particles, as well as the flow of grains around fixed intruders, however
Wyburn Edward   +3 more
doaj   +1 more source

Experimental study of shear rate dependence in perpetually sheared granular matter

open access: yesEPJ Web of Conferences, 2017
We study the shear behaviour of various granular materials by conducting novel perpetual simple shear experiments over four orders of magnitude of relatively low shear rates. The newly developed experimental apparatus employed is called “3D Stadium Shear
Liu Sophie Yang   +4 more
doaj   +1 more source

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