A genome-wide association study identified SNP markers and candidate genes associated with morphometric fruit quality traits in mangoes. [PDF]
Eltaher S+4 more
europepmc +1 more source
Self-Pollinated Types and Ecological Adaptations of the Desert Plant <i>Gymnocarpos przewalskii</i>. [PDF]
Jian J, Chai X, Zhao X, Yang Z.
europepmc +1 more source
Capsicum chinense Jacq. fruit plays an immunomodulatory role in cytokine attenuation and DNA damage protection. [PDF]
Saha S+7 more
europepmc +1 more source
Determination of synbiotic mango fruit yogurt and its bioactive peptides for biofunctional properties. [PDF]
Minj J, Vij S.
europepmc +1 more source
Effects of Dietary Ferric EDTA Levels on Vegetables and Mirror Carp (<i>Cyprinus carpio var</i>. <i>specularis</i>) in Aquaponics System. [PDF]
Liu Y+7 more
europepmc +1 more source
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Deep Learning with Data Augmentation for Fruit Counting
2020Counting the number of fruits in an image is important for orchard management, but is complex due to different challenging problems such as overlapping fruits and the difficulty to create large labeled datasets. In this paper, we propose the use of a data-augmentation technique that creates novel images by adding a number of manually cropped fruits to ...
Pornntiwa Pawara+3 more
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Automatic fruit recognition and counting from multiple images
Biosystems Engineering, 2014In our post-genomic world, where we are deluged with genetic information, the bottleneck to scientific progress is often phenotyping, i.e. measuring the observable characteristics of living organisms, such as counting the number of fruits on a plant. Image analysis is one route to automation.
Song, Y.+5 more
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Detecting and counting citrus fruit on the ground using machine vision [PDF]
Abstract. A machine vision system for estimating number of citrus fruit drop was developed in this study. The objectives of this study were to design rugged hardware, to develop an image processing algorithm for accurate estimation of fruit count and to conduct field experiments.
Reza Ehsani, Daeun Choi, Won Suk Lee
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Machine vision for counting fruit on mango tree canopies
Precision Agriculture, 2016Machine vision technologies hold the promise of enabling rapid and accurate fruit crop yield predictions in the field. The key to fulfilling this promise is accurate segmentation and detection of fruit in images of tree canopies. This paper proposes two new methods for automated counting of fruit in images of mango tree canopies, one using texture ...
Matthew N. Dailey+6 more
openaire +3 more sources