Development of molecular markers to distinguish between morphologically similar edible plants and poisonous plants using real-time PCR assay.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.10711
Abstract: BACKGROUND Due to a similar appearance between edible and poisonous plants, a total of 42 patients ingesting poisonous plants have occurred from 2013 to 2017 in Korea. We developed species-specific primer sets of three of… read more here.
Keywords: real time; time pcr; primer sets; plants using ... See more keywords
Evaluation of malathion-induced cytogenetical effects and oxidative stress in plants using Allium test
Sign Up to like & getrecommendations! Published in 2017 at "Acta Physiologiae Plantarum"
DOI: 10.1007/s11738-017-2391-z
Abstract: The present study emphasized to explore the toxicity effect of malathion on plants using Allium test. The experiments explored the mitotic inhibition, growth and activity of antioxidant enzymes in roots of Allium cepa at different… read more here.
Keywords: using allium; malathion induced; malathion; plants using ... See more keywords
Failure signature classification in solar photovoltaic plants using RGB images and convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.07.154
Abstract: Abstract Physical fault detection in panels that are part of photovoltaic (PV) plants typically involves the analysis of thermal and electroluminescent images, which makes it either difficult or impossible to identify the source of the… read more here.
Keywords: photovoltaic plants; fault; classification; neural networks ... See more keywords
Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1871091
Abstract: Brazil is one of the largest producers of maize worldwide. However, this production is threatened due to low soil fertility, especially low levels of potassium (K+). K+ is one of the most important... read more here.
Keywords: maize plants; quantification potassium; identification quantification; deficiency maize ... See more keywords
Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2020.2992339
Abstract: This article presents a novel method for boundary extraction of photovoltaic (PV) plants using a fully convolutional network (FCN). Extracting the boundaries of PV plants is essential in the process of aerial inspection and autonomous… read more here.
Keywords: fully convolutional; plants using; photovoltaic plants; boundary extraction ... See more keywords
Detecting and distinguishing between apicultural plants using UAV multispectral imaging.
Sign Up to like & getrecommendations! Published in 2023 at "PeerJ"
DOI: 10.7717/peerj.15065
Abstract: Detecting and distinguishing apicultural plants are important elements of the evaluation and quantification of potential honey production worldwide. Today, remote sensing can provide accurate plant distribution maps using rapid and efficient techniques. In the present… read more here.
Keywords: distinguishing apicultural; apicultural plants; detecting distinguishing; plants using ... See more keywords