Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers

2019 ◽  
Vol 6 (3/4) ◽  
pp. 185
Author(s):  
Fatimazahra Jakjoud ◽  
Anas Hatim ◽  
Abella Bouaddi
Keyword(s):  
Tree Leaves ◽  
Orange Tree ◽  
Nearest Neighbours ◽  
Occurrence Matrix

Atmospheric CO2 enrichment influences the synthesis and mobilization of putative vacuolar storage proteins in sour orange tree leaves

2002 ◽  
Vol 48 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Keith E Idso ◽  
J.Kenneth Hoober ◽  
Sherwood B Idso ◽  
Gerard W Wall ◽  
Bruce A Kimball
Keyword(s):  
Storage Proteins ◽  
Co2 Enrichment ◽  
Atmospheric Co2 ◽  
Sour Orange ◽  
Tree Leaves ◽  
Orange Tree

scholarly journals Orange tree leaves, a perfect adsorbent for the removal of Cd (II), Co (II), Zn (II) from wastewater

2019 ◽  
Vol 25 (2) ◽  
pp. 107-117 ◽  
Author(s):  
Navid Nourbakhsh ◽  
Hassan Mousavi ◽  
Eskandar Kolvari ◽  
Aisan Khaligh
Keyword(s):  
Low Cost ◽  
Agricultural Waste ◽  
Order Kinetic ◽  
Tree Leaves ◽  
Orange Tree ◽  
Solution Studies ◽  
Removal Of Heavy Metals ◽  
Adsorption Processes ◽  
Order Kinetic Model ◽  
Wastewater Samples

The present study explores the uptake capacity of low-cost agricultural waste for the removal of heavy metals, Co2+, Cd2+ and Zn2+, from aqueous solution. Studies conformed to Freundlich, Langmuir and Temkin adsorption isotherms. The values of constants for the thermodynamic and kinetic isotherms were found. The kinetic isotherm experiment data could be well described with the pseudo-second order kinetic model and thermodynamic studies indicated that the adsorption processes were spontaneous and endothermic with orange tree leaves under natural conditions. Experiments showed that Cd2+, Co2+ and Zn2+ adsorption increased with increasing pH and decreased with increasing the temperature and concentration of solutions. This study indicates that the developed method based on orange tree leaves is very simple, low-cost, fast and trusty for the removal of heavy metal ions from water and wastewater samples.

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