Influence of chemical fertilizers and foliar spraying with humic acid in growth and yield of red cabbage
(6)
Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
(30)
(32)
Publication Date
Wed Mar 01 2023
Journal Name
Evergreen
(5)
(2)
Publication Date
Tue Jun 30 2020
Journal Name
Pakistan Journal Of Phytopathology
(4)
(1)
Publication Date
Wed Apr 01 2015
Journal Name
Mathematical Methods In The Applied Sciences
(34)
(25)
Publication Date
Sat Apr 25 2020
Journal Name
Asian Journal Of Agriculture And Biology
Biodegradation of plastic wastes by confused flour beetle Tribolium confusum Jacquelin du Val larvae
(19)
(19)
Publication Date
Mon Sep 01 2014
Journal Name
19th International Conference On Methods And Models In Automation And Robotics (mmar) 2014
(23)
(21)
Publication Date
Tue May 01 2018
Journal Name
Chemical Engineering And Processing - Process Intensification
(14)
(11)
Publication Date
Tue Nov 08 2022
Journal Name
Buildings
An Experimental Study of Granular Material Using Recycled Concrete Waste for Pavement Roadbed Construction
pavement
recycled concrete aggregate
stiffness
subbase construction
Rapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could be one of the possible ways to offset the aggregate shortage problem and reduce environmental pollution. This paper reports an experimental study of unbound granular material using recycled concrete aggregate for pavement subbase construction. Five percentages of recycled concrete aggregate obtained from two different sources with an originally designed compressive strength of 20–30 MPa as well as 31–40 MPa at three particle size levels, i.e., coarse, fine, and extra fine, were test
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(17)
(14)
Publication Date
Mon May 06 2024
Journal Name
Journal Of Ecological Engineering
Using Machine Learning Algorithms to Predict the Sweetness of Bananas at Different Drying Times
drying time
machine learning
prediction
sweetness
quality.
The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying
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(10)
(11)
Publication Date
Mon Jan 29 2024
Journal Name
Polymer Bulletin
(2)
(2)