Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks [PDF]
Pollen grain micrograph classification has multiple applications in medicine and biology. Automatic pollen grain image classification can alleviate the problems of manual categorisation such as subjectivity and time constraints. While a number of computer-based methods have been introduced in the literature to perform this task, classification ...
arxiv +1 more source
STUDYING THE WEIGHT OF 1000 GRAINS OF CEREALS AND LEGUMES
The mass of 1000 grains also evaluates the grain density, studying the influence of the mass of 1000 grains on the technological properties of production, the effect of the mass of 1000 grains on grain and seeds, grain consistency, grain hardness.
openaire +2 more sources
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM [PDF]
Large Language Models (LLMs) pose significant hardware challenges related to memory requirements and computational ability. There are two mainstream quantization schemes for LLMs: coarse-grained ($\textit{e.g.,}$ channel-wise) quantization and fine-grained ($\textit{e.g.,}$ group-wise) quantization.
arxiv
Effect of mycorrhiza, pseudomonas bacteria and humic acid on growth indices of bean (Phaseolus vulgaris L.) [PDF]
Introduction Legumes are very important source of protein after cereals. These plants are capable of biological nitrogen fixation and increasing soil fertility as cover crop or including in crop rotation and reducing soil erosion which improve ...
Neda Jadidoleslam+2 more
doaj +1 more source
Regional Association Analysis of MetaQTLs Delineates Candidate Grain Size Genes in Rice
Molecular mapping studies which aim to identify genetic basis of diverse agronomic traits are vital for marker-assisted crop improvement. Numerous Quantitative Trait Loci (QTLs) mapped in rice span long genomic intervals with hundreds to thousands of ...
Anurag V. Daware+5 more
doaj +1 more source
Functional Analysis of OsCIPK17 in Rice Grain Filling
We used mutant cipk17 and Nipponbare in field experiments to analyze agronomic traits, photosynthetic parameters, transcriptome, and gene expression. The results demonstrated cytoplasmic localization of OsCIPK17, while GUS allogeneic (A. thaliana) tissue-
Cong Gao+7 more
doaj +1 more source
Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits [PDF]
In order to evaluate genetic variability of agro-morphological traits and also determine the correlation between grain yield with its components in rice lines, 17 recombinants inbred lines, their parents and a check variety were grown in research station
Audebert, Alain+4 more
core +1 more source
Task Discrepancy Maximization for Fine-grained Few-Shot Classification [PDF]
Recognizing discriminative details such as eyes and beaks is important for distinguishing fine-grained classes since they have similar overall appearances. In this regard, we introduce Task Discrepancy Maximization (TDM), a simple module for fine-grained few-shot classification.
arxiv
Plant Density Effect on Grain Number and Weight of Two Winter Wheat Cultivars at Different Spikelet and Grain Positions. [PDF]
In winter wheat, grain development is asynchronous. The grain number and grain weight vary significantly at different spikelet and grain positions among wheat cultivars grown at different plant densities.
Yong Li+8 more
doaj +1 more source
The current lack of efficient methods for high throughput field phenotyping is a constraint on the goal of increasing durum wheat yields. This study illustrates a comprehensive methodology for phenotyping this crop's water use through the use of the two ...
David Gómez-Candón+2 more
doaj +1 more source