Results 111 to 120 of about 68,403 (207)
THE ECONOMICS OF NON-GMO SEGREGATION AND IDENTITY PRESERVATION [PDF]
We survey grain and soybean handlers and producers in the U.S. and EU to estimate costs of preserving the identities of GMO and non-GMO crops in marketing channels.
Bullock, David S. +2 more
core +1 more source
Automated Pollen-Grain Counting
, 2021 Denne oppgaven utforsker hvodan CNN baserte objektdeteksjonsmodeler kan bruker til å lokalisere of klassifisere pollenkorn ved hjelp av mikroskopisk bilde data. Telling av pollen er en sentral metode innen mange forskellige felt, f.eks. krimimalogi, arkeologi, og geologi.
openaire +1 more source
Genetic Change in Farmer-Recycled Maize Seed: A Review of the Evidence [PDF]
Crop Production/Industries, Research and Development/Tech Change/Emerging Technologies,
Beck, David +2 more
core +1 more source
Thermomagnetic analysis of meteorites, 2: C2 chondrites [PDF]
Samples of all eighteen of the known C2 chondrites were analyzed thermomagnetically. For eleven of these, initial Fe3O4 content is low(generally 1%) and the J sub s-T curves are irreversible. The heating curves show variable and erratic behavior, whereas
Herndon, J. M. +3 more
core +1 more source
A review on the function of arabinogalactan-proteins during pollen grain development. [PDF]
Plant ReprodFoubert-Mendes S +4 more
europepmc +1 more source
Pollen Grain Classification Using Some Convolutional Neural Network Architectures. [PDF]
J ImagingGarga B +4 more
europepmc +1 more source
PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI. [PDF]
HeliyonShamrat FMJM +7 more
europepmc +1 more source
Pollen grain morphology is not exclusively responsible for pollen collectability in bumble bees. [PDF]
Sci Rep, 2019 Konzmann S, Koethe S, Lunau K.
europepmc +1 more source
Precise Pollen Grain Detection in Bright Field Microscopy Using Deep Learning Techniques. [PDF]
Sensors (Basel), 2019 Gallardo-Caballero R +5 more
europepmc +1 more source