keyword
MENU ▼
Read by QxMD icon Read
search

"neural network" AND plant growth

keyword
https://www.readbyqxmd.com/read/30087695/deep-phenotyping-deep-learning-for-temporal-phenotype-genotype-classification
#1
Sarah Taghavi Namin, Mohammad Esmaeilzadeh, Mohammad Najafi, Tim B Brown, Justin O Borevitz
Background: High resolution and high throughput genotype to phenotype studies in plants are underway to accelerate breeding of climate ready crops. In the recent years, deep learning techniques and in particular Convolutional Neural Networks (CNNs), Recurrent Neural Networks and Long-Short Term Memories (LSTMs), have shown great success in visual data recognition, classification, and sequence learning tasks. More recently, CNNs have been used for plant classification and phenotyping, using individual static images of the plants...
2018: Plant Methods
https://www.readbyqxmd.com/read/29988466/deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithms
#2
Shichao Jin, Yanjun Su, Shang Gao, Fangfang Wu, Tianyu Hu, Jin Liu, Wenkai Li, Dingchang Wang, Shaojiang Chen, Yuanxi Jiang, Shuxin Pang, Qinghua Guo
The rapid development of light detection and ranging (Lidar) provides a promising way to obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D laser points. Recently, Lidar has been widely used to obtain phenotype data in the greenhouse and field with along other sensors. Individual maize segmentation is the prerequisite for high throughput phenotype data extraction at individual crop or leaf level, which is still a huge challenge. Deep learning, a state-of-the-art machine learning method, has shown high performance in object detection, classification, and segmentation...
2018: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29977249/forecasting-root-zone-electrical-conductivity-of-nutrient-solutions-in-closed-loop-soilless-cultures-via-a-recurrent-neural-network-using-environmental-and-cultivation-information
#3
Taewon Moon, Tae In Ahn, Jung Eek Son
In existing closed-loop soilless cultures, nutrient solutions are controlled by the electrical conductivity (EC) of the solution. However, the EC of nutrient solutions is affected by both growth environments and crop growth, so it is hard to predict the EC of nutrient solution. The objective of this study was to predict the EC of root-zone nutrient solutions in closed-loop soilless cultures using recurrent neural network (RNN). In a test greenhouse with sweet peppers ( Capsicum annuum L.), data were measured every 10 s from October 15 to December 31, 2014...
2018: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29894946/-1-h-nmr-metabolomics-of-microbial-metabolites-in-the-four-mw-agricultural-biogas-plant-reactors-a-case-study-of-inhibition-mirroring-the-acute-rumen-acidosis-symptoms
#4
Boštjan Murovec, Damjan Makuc, Sabina Kolbl Repinc, Zala Prevoršek, Domen Zavec, Robert Šket, Klemen Pečnik, Janez Plavec, Blaž Stres
In this study, nuclear magnetic resonance (1 H NMR) spectroscopic profiling was used to provide a more comprehensive view of microbial metabolites associated with poor reactor performance in a full-scale 4 MW mesophilic agricultural biogas plant under fully operational and also under inhibited conditions. Multivariate analyses were used to assess the significance of differences between reactors whereas artificial neural networks (ANN) were used to identify the key metabolites responsible for inhibition and their network of interaction...
September 15, 2018: Journal of Environmental Management
https://www.readbyqxmd.com/read/29797888/-nondestructive-detection-of-total-nitrogen-content-in-leaves-of-santalum-album-based-on-st-pca-bp-neural-network
#5
Zhu Lin Chen, Xue Feng Wang
Nitrogen is one of the most important elements for plant growth. Producers often use a lot of nitrogen fertilizer during plant growth process. However, excessive fertilizer often cause ground-water pollution. In this study, we proposed a nondestructive testing method for total nitrogen content in leaves of sandalwood (Santalum album) based on ST-PCA-BP neural network. The results showed that, due to the wide color range of L* a* b* color system and its robustness in illumination change, images obtained from the field which were converted from RGB to L* a* b* color system had a satisfying segmentation result...
May 2018: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
https://www.readbyqxmd.com/read/29163583/mathematical-modeling-and-optimizing-of-in-vitro-hormonal-combination-for-g-%C3%A3-n15-vegetative-rootstock-proliferation-using-artificial-neural-network-genetic-algorithm-ann-ga
#6
Mohammad M Arab, Abbas Yadollahi, Hamed Ahmadi, Maliheh Eftekhari, Masoud Maleki
The efficiency of a hybrid systems method which combined artificial neural networks (ANNs) as a modeling tool and genetic algorithms (GAs) as an optimizing method for input variables used in ANN modeling was assessed. Hence, as a new technique, it was applied for the prediction and optimization of the plant hormones concentrations and combinations for in vitro proliferation of Garnem (G × N15) rootstock as a case study. Optimizing hormones combination was surveyed by modeling the effects of various concentrations of cytokinin-auxin, i...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29118821/tasselnet-counting-maize-tassels-in-the-wild-via-local-counts-regression-network
#7
Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen
Background: Accurately counting maize tassels is important for monitoring the growth status of maize plants. This tedious task, however, is still mainly done by manual efforts. In the context of modern plant phenotyping, automating this task is required to meet the need of large-scale analysis of genotype and phenotype. In recent years, computer vision technologies have experienced a significant breakthrough due to the emergence of large-scale datasets and increased computational resources...
2017: Plant Methods
https://www.readbyqxmd.com/read/29077040/fast-detection-of-striped-stem-borer-chilo-suppressalis-walker-infested-rice-seedling-based-on-visible-near-infrared-hyperspectral-imaging-system
#8
Yangyang Fan, Tao Wang, Zhengjun Qiu, Jiyu Peng, Chu Zhang, Yong He
Striped stem-borer (SSB) infestation is one of the most serious sources of damage to rice growth. A rapid and non-destructive method of early SSB detection is essential for rice-growth protection. In this study, hyperspectral imaging combined with chemometrics was used to detect early SSB infestation in rice and identify the degree of infestation (DI). Visible/near-infrared hyperspectral images (in the spectral range of 380 nm to 1030 nm) were taken of the healthy rice plants and infested rice plants by SSB for 2, 4, 6, 8 and 10 days...
October 27, 2017: Sensors
https://www.readbyqxmd.com/read/28862490/phytoextraction-potential-of-water-fern-azolla-pinnata-in-the-removal-of-a-hazardous-dye-methyl-violet-2b-artificial-neural-network-modelling
#9
Muhammad Raziq Rahimi Kooh, Linda B L Lim, Lee-Hoon Lim, Owais Ahmed Malik
This study investigated the potential of Azolla pinnata (AP) in the removal of toxic methyl violet 2B (MV) dye wastewater using the phytoextraction approach with the inclusion of an Artificial Neural Network (ANN) modelling. Parameters examined included the effects of dye concentration, pH and plant dosage. The highest removal efficiency was 93% which was achieved at a plant dosage of 0.8 g (dye volume = 200 mL, initial pH = 6.0, initial dye concentration = 10 mg L-1 ). A significant decrease in relative frond number (RFN), a growth rate estimator, observed at a dye concentration of 20 mg L-1 MV indicated some toxicity, which coincided with the plant pigments studies where the chlorophyll a content was lower than the control...
April 16, 2018: International Journal of Phytoremediation
https://www.readbyqxmd.com/read/27807436/artificial-neural-network-genetic-algorithm-as-powerful-tool-to-predict-and-optimize-in-vitro-proliferation-mineral-medium-for-g-%C3%A3-n15-rootstock
#10
Mohammad M Arab, Abbas Yadollahi, Abdolali Shojaeiyan, Hamed Ahmadi
One of the major obstacles to the micropropagation of Prunus rootstocks has, up until now, been the lack of a suitable tissue culture medium. Therefore, reformulation of culture media or modification of the mineral content might be a breakthrough to improve in vitro multiplication of G × N15 (garnem). We found artificial neural network in combination of genetic algorithm (ANN-GA) as a very precise and powerful modeling system for optimizing the culture medium, So that modeling the effects of MS mineral salts ([Formula: see text], [Formula: see text], [Formula: see text], Ca(2+), K(+), [Formula: see text], Mg(2+), and Cl(-)) on in vitro multiplication parameters (the number of microshoots per explant, average length of microshoots, weight of calluses derived from the base of stem explants, and quality index of plantlets) of G × N15...
2016: Frontiers in Plant Science
https://www.readbyqxmd.com/read/27620529/rhizobacteria-and-plant-symbiosis-in-heavy-metal-uptake-and-its-implications-for-soil-bioremediation
#11
Dana Luminița Sobariu, Daniela Ionela Tudorache Fertu, Mariana Diaconu, Lucian Vasile Pavel, Raluca-Maria Hlihor, Elena Niculina Drăgoi, Silvia Curteanu, Markus Lenz, Philippe François-Xavier Corvini, Maria Gavrilescu
Certain species of plants can benefit from synergistic effects with plant growth-promoting rhizobacteria (PGPR) that improve plant growth and metal accumulation, mitigating toxic effects on plants and increasing their tolerance to heavy metals. The application of PGPR as biofertilizers and atmospheric nitrogen fixators contributes considerably to the intensification of the phytoremediation process. In this paper, we have built a system consisting of rhizospheric Azotobacter microbial populations and Lepidium sativum plants, growing in solutions containing heavy metals in various concentrations...
October 25, 2017: New Biotechnology
https://www.readbyqxmd.com/read/26768143/spatiotemporal-variability-and-predictability-of-normalized-difference-vegetation-index-ndvi-in-alberta-canada
#12
Rengui Jiang, Jiancang Xie, Hailong He, Chun-Chao Kuo, Jiwei Zhu, Mingxiang Yang
As one of the most popular vegetation indices to monitor terrestrial vegetation productivity, Normalized Difference Vegetation Index (NDVI) has been widely used to study the plant growth and vegetation productivity around the world, especially the dynamic response of vegetation to climate change in terms of precipitation and temperature. Alberta is the most important agricultural and forestry province and with the best climatic observation systems in Canada. However, few studies pertaining to climate change and vegetation productivity are found...
September 2016: International Journal of Biometeorology
https://www.readbyqxmd.com/read/26540563/biodegradation-of-direct-blue-129-diazo-dye-by-spirodela-polyrrhiza-an-artificial-neural-networks-modeling
#13
A Movafeghi, A R Khataee, Z Moradi, F Vafaei
Phytoremediation potential of the aquatic plant Spirodela polyrrhiza was examined for direct blue 129 (DB129) azo dye. The dye removal efficiency was optimized under the variable conditions of the operational parameters including removal time, initial dye concentration, pH, temperature and amount of plant. The study reflected the significantly enhanced dye removal efficiency of S. polyrrhiza by increasing the temperature, initial dye concentration and amount of plant. Intriguingly, artificial neural network (ANN) predicted the removal time as the most dominant parameter on DB129 removal efficiency...
2016: International Journal of Phytoremediation
https://www.readbyqxmd.com/read/25751952/-study-on-quality-assessment-of-polygalae-radix-based-on-hplc-dad-fingerprint
#14
Yun-Sheng Zhao, Xiu Liu, Fu-Ying Mao, Hong-Ling Tian, De-Guang Wan
OBJECTIVE: To establish an HPLC fingerprint to evaluate the quality of Polygalae Radix, root xylem, and those collected in different growth ages or harvest time. METHOD: Separation was performed at 30 °C on a Kromasil C18 column (4.6 mm x 250 mm, 5 μm); the mobile phases was acetonitrile and 0.05% H3PO4 water in the gradient elution; the flow rate was set at 1.0 mL · min(-1) and the detection wavelength at 314 nm; the quality discriminant analyses were accomplished by means of similarity analysis, cluster analysis, principal component analysis and neural network model...
October 2014: Zhongguo Zhong Yao za Zhi, Zhongguo Zhongyao Zazhi, China Journal of Chinese Materia Medica
https://www.readbyqxmd.com/read/25652006/ramified-challenges-monitoring-and-modeling-of-hairy-root-growth-in-bioprocesses-a-review
#15
REVIEW
Felix Lenk, Thomas Bley
The review presents a comprehensive overview on available solutions for the monitoring and modeling of various aspects of hairy root growth processes. Several online and offline measurement principles get explained exemplary and are being compared. It was found that no direct online measurement principle for hairy root biomass in submerged and solid-state culturing environment is available. However, certain indirect methods involving one or more measurement values have been developed for biomonitoring of hairy roots especially in bioreactors...
2015: Advances in Biochemical Engineering/biotechnology
https://www.readbyqxmd.com/read/25408503/neuroprotection-by-saponins
#16
REVIEW
Aijing Sun, Xianxiang Xu, Junsheng Lin, Xiuling Cui, Ruian Xu
Saponins, an important group of bioactive plant natural products, are glycosides of triterpenoid or steroidal aglycones. Their diverse biological activities are ascribed to their different structures. Saponins have long been recognized as key ingredients in traditional Chinese medicine. Accumulated evidence suggests that saponins have significant neuroprotective effects on attenuation of central nervous system disorders, such as stroke, Alzheimer's disease, Parkinson's disease, and Huntington's disease. However, our understanding of the mechanisms underlying the observed effects remains incomplete...
February 2015: Phytotherapy Research: PTR
https://www.readbyqxmd.com/read/25229418/utilization-of-phosphate-rock-from-lisina-for-direct-application-release-of-plant-nutrients-in-the-exchange-fertilizer-mixtures
#17
Marija Mihajlović, Nebojša Perišić, Lato Pezo, Mirjana Stojanović, Jelena Milojković, Zorica Lopičić, Marija Petrović
This study examined the possibility of direct application of phosphate rock (PR) from Lisina deposit, in a mixture with natural clinoptilolite (Cp) and clinoptilolite partially saturated with ammonium ions (NH4-Cp). Solution P concentrations of the NH4-Cp/PR mixtures were sufficient for plant growth and ranged from 0.36 to 0.82 mg L(-1). The median NH4-Cp/PR ratio and the longest proposed mixing time had the most positive impact on the P concentration. Solution Ca concentrations of the NH4-Cp/PR mixtures were between 112...
October 15, 2014: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/24783563/-development-of-prediction-models-for-determining-n-content-in-citrus-leaves-based-on-hyperspectral-imaging-technology
#18
Jin-Meng Li, Xu-Jun Ye, Qiao-Nan Wang, Chu Zhang, Yong He
The present study presents prediction models for determining the N content in citrus leaves by using hyperspectral imaging technology combined with several chemometrics methods. The steps followed in this study are: hyperspectral image scanning, extracting average spectra curves, pretreatment of raw spectra data, extracting characteristic wavelengths with successive projection algorithm and developing prediction models for determining N content in citrus leaves. The authors obtained three optimal pretreatment methods through comparing eleven different pretreatment methods including Savitzky-Golay (SG) smoothing, standard normal variate (SNV), multiplicative scatter correction (MSC), first derivative (1-Der) and so on...
January 2014: Guang Pu Xue Yu Guang Pu Fen Xi, Guang Pu
https://www.readbyqxmd.com/read/24064602/crack-orientation-and-depth-estimation-in-a-low-pressure-turbine-disc-using-a-phased-array-ultrasonic-transducer-and-an-artificial-neural-network
#19
Xiaoxia Yang, Shili Chen, Shijiu Jin, Wenshuang Chang
Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden dangers to production safety in the power plants, and knowing the orientation and depth of the initial cracks is essential for the evaluation of the crack growth rate, propagation direction and working life of the turbine disc. In this paper, a method based on phased array ultrasonic transducer and artificial neural network (ANN), is proposed to estimate both the depth and orientation of initial cracks in the turbine discs...
2013: Sensors
https://www.readbyqxmd.com/read/23819271/potential-of-the-aquatic-fern-azolla-filiculoides-in-biodegradation-of-an-azo-dye-modeling-of-experimental-results-by-artificial-neural-networks
#20
A R Khataee, A Movafeghi, F Vafaei, S Y Salehi Lisar, M Zarei
The potential of an aquatic fern, Azolla filiculoides, in phytoremediation of a mono azo dye solution, C.I. Acid Blue 92 (AB92), was studied. The effects of operational parameters such as reaction time, initial dye concentration, fern fresh weight, pH, temperature and reusability of the fern on biodegradation efficiency were investigated. The intermediate compounds produced by biodegradation process were analyzed using GC-MS analysis. An artificial neural network (ANN) model was developed to predict the biodegradation efficiency...
2013: International Journal of Phytoremediation
keyword
keyword
162017
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"