A comparison of {sup 137}Cs radioactivity in localized evergreen and deciduous plant species

Dark Leaf Respiration in Light and Darkness of an Evergreen and a Deciduous Plant Species

PLANT PHYSIOLOGY ◽

10.1104/pp.107.2.421 ◽

1995 ◽

Vol 107 (2) ◽

pp. 421-427 ◽

Cited By ~ 121

Author(s):

R. Villar ◽

A. A. Held ◽

J. Merino

Keyword(s):

Plant Species ◽

Leaf Respiration ◽

Deciduous Plant

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Dynamics of foliar nitrogen of evergreen and deciduous plant species in a wet tropical forest, South Assam, India

Plant Ecology ◽

10.1007/s11258-015-0496-2 ◽

2015 ◽

Vol 216 (8) ◽

pp. 1117-1135 ◽

Cited By ~ 2

Author(s):

Florida Devi Athokpam ◽

Satish Chandra Garkoti

Keyword(s):

Tropical Forest ◽

Plant Species ◽

Foliar Nitrogen ◽

Deciduous Plant

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Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach

Mobile Information Systems ◽

10.1155/2021/4310321 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Ahsan Bin Tufail ◽

Inam Ullah ◽

Rahim Khan ◽

Luqman Ali ◽

Adnan Yousaf ◽

...

Keyword(s):

Transfer Learning ◽

Plant Species ◽

Binary Classification ◽

Bare Soil ◽

Learning Approaches ◽

Object Based Image Analysis ◽

Aerial Imaging ◽

Object Based ◽

Vegetation Class ◽

Deciduous Plant

There is a growing demand for the detection of endangered plant species through machine learning approaches. Ziziphus lotus is an endangered deciduous plant species in the buckthorn family (Rhamnaceae) native to Southern Europe. Traditional methods such as object-based image analysis have achieved good recognition rates. However, they are slow and require high human intervention. Transfer learning-based methods have several applications for data analysis in a variety of Internet of Things systems. In this work, we have analyzed the potential of convolutional neural networks to recognize and detect the Ziziphus lotus plant in remote sensing images. We fine-tuned Inception version 3, Xception, and Inception ResNet version 2 architectures for binary classification into plant species class and bare soil and vegetation class. The achieved results are promising and effectively demonstrate the better performance of deep learning algorithms over their counterparts.

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Assessment of anticipated performance index of some deciduous plant species under dust air pollution

Environmental Science and Pollution Research ◽

10.1007/s11356-020-09957-w ◽

2020 ◽

Vol 27 (31) ◽

pp. 38987-38994

Author(s):

Zeinab Javanmard ◽

Masoud Tabari Kouchaksaraei ◽

Seyed Mohsen Hosseini ◽

Ashutosh Kumar Pandey

Keyword(s):

Air Pollution ◽

Plant Species ◽

Performance Index ◽

Anticipated Performance Index ◽

Deciduous Plant

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Voerbeskikbaarheid en voedingswaarde van die belangrikste voedselplante van die Kameelperd Giraffa camelopardalis (Linnaeus, 1758) in die Willem Pretoriuswildtuin, Oranje-Vrystaat

Koedoe ◽

10.4102/koedoe.v28i1.532 ◽

1985 ◽

Vol 28 (1) ◽

Cited By ~ 2

Author(s):

O.B. Kok ◽

D.P.J. Opperman

Keyword(s):

Plant Species ◽

Early Summer ◽

Food Plants ◽

Winter Period ◽

Absolute Maximum ◽

Individual Plant ◽

Giraffa Camelopardalis ◽

Game Reserve ◽

Deciduous Plant ◽

Selection Of

Chemiese analises is op die belangrikste oedselitems van die kameelperd Giraffa camelopardalis in die Willem Pretoriuswildtuin, Oranje-Vrystaat, uitgevoer. Die ruproteieninhoud en verteerbare organiese materiaal van blare van veral bladwisselende plantsoorte toon 'n styging gedurende die voorsomer waarna 'n geleidelike afname tot met die wintermaande plaasvind. Dit wil voorkom asof die teenoorgestelde tendens vir die suurverteerbare veselfraksie geld. Geen statisties-betekenisvolle verband kon tussen enige van die voedingsfraksies en die benuttingsfrekwensie van individuele plantsoorte aangetoon word nie. Aanduidings bestaan dat voedselseleksie hoofsaaklik deur die beskikbaarheid van voedselplante beinvloed word. Droemateriaalopbrengs van geselekteerde houtagtige voedselplante toon 'n duidelike verwantskap met buitebosoppervlakte en bosvolume. Geoordeel aan die hoeveelheid voer wat gedurende die kritieke wintertydperk beskikbaar is, kan 'n absolute maksimum van 43 kameelperde op 'n permanente basis in die wildtuin onderhou word. Chemical analyses of the most important food items of the giraffe Giraffa camelopardalis in the Willem Pretorius Game Reserve, Orange Free State, were carried out. The crude protein content and digestible organic material of leaves, especially from deciduous plant species, show an increase during early summer after which a gradual decrease takes place till winter. It seems as if the opposite trend applies to the acid digestible fibre fraction. No statistically significant relationship between any of the feeding fractions and utilization frequency of individual plant species could be demonstrated. Indications are that the selection of food is influenced mainly by the availability of food plants. The yield of dry material of selected woody food plants shows a distinct relationship with outer bush surface and bush volume. Based on the amount of browse available during the critical winter period, an absolute maximum of 43 giraffe can be supported in the game reserve on a permanent basis.

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