Heading percentage estimation in proso millet ( <i>Panicum miliaceum</i> L.) using aerial imagery and deep learning
نویسندگان
چکیده
منابع مشابه
Evaluation of proso millet (Panicum miliaceum L.) germplasm collections
Evaluation of three hundred and sixty four proso millet germplasm accessions were done during rabi, 2008-2009 at Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore to study genetic variability, diversity, correlation and path analysis of yield and its components. High variability observed for most of the characters indicated the scope o...
متن کاملNutritionally Important Components of Proso Millet (Panicum miliaceum L.)
Proso millet (Panicum miliaceum L.) belongs to one of the first cultivated plants. Although the crop is traditionally grown, especially in Asia and from European countries through to Russia, nowadays it has become a new alternative crop and a new raw material for food production in many developed countries. Also changes of climatic conditions can support the growth of this drought-resistant pla...
متن کاملProso millet (Panicum miliaceum L.) fermentationfor fuel ethanol production
The objective of this research was to determine the conversion efficiency of proso millet to ethanol compared to corn in a bench-scale dry-grind procedure. Seven proso millet cultivars and six advanced breeding lines containing waxy starch were fermented with Saccharomyces cerevisiae and ethanol production was compared with normal corn and “highly fermentable” corn. The highly fermentable corn ...
متن کاملPhytochemical and Antiproliferative Activity of Proso Millet
The phytochemical content, antioxidant activity and antiproliferative properties of three diverse varieties of proso millet are reported. The free phenolic content ranged from 27.48 (Gumi 20) to 151.14 (Mi2504-6) mg gallic acid equiv/100 g DW. The bound phenolic content ranged from 55.95 (Gumi20) to 305.81 (Mi2504-6) mg gallic acid equiv/100 g DW. The percentage contribution of bound phenolic t...
متن کاملIntegration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery
The problem of extracting the building from mono optical aerial imagery with high spatial resolution is always considered as an important challenge to prepare the maps. The goal of the current research is to take advantage of the semantic segmentation of mono optical aerial imagery to extract the building which is realized based on the combination of deep convolutional neural networks (DCNN) an...
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ژورنال
عنوان ژورنال: Plant phenome journal
سال: 2022
ISSN: ['2578-2703']
DOI: https://doi.org/10.1002/ppj2.20049