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363308

Analyzing Soil Quality and Fertility in Agriculture: A Comprehensive Review of Regression Techniques

Article

Last updated: 29 Dec 2024

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Subjects

-

Tags

Future projections, options, policies, and indicators of sustainability

Abstract

Agricultural systems are very complicated mechanisms of connections between plants, animals, and the biochemical processes in a way that they provide the main source of crop production, ecosystem stability, and environmental sustainability. Soil is the foundation on which farming rests, with plants growing efficiently and ecosystems functioning. Therefore, there is a need for the assessment of soil quality so as to ensure that agriculture is fruitful, stable, and sustainable. Soil gastric enzymes operate as key catalysts in chemical reactions and nutrient cycling, organic matter decay process, and soil fertility. This survey discusses the two main enzymes, amylase and urease, that play an essential role in nutrient absorption by breaking down starch and improving the nitrogen cycle. Soil physicochemical properties, land use, and weather conditions provide stability of the enzyme activity. Regression analysis techniques like multiple linear regression (MLR) and random forest (RF) machine learning classifiers use large amounts of data to explore enzymatic activity in the soil and investigate its associations with soil properties and management practices. Regression analysis additionally descends over soil enzymology to crop yield forecasting, greenhouse gas emissions accounting, and environmental degradation evaluation, among other things.

DOI

10.21608/jassd.2024.283055.1018

Keywords

agriculture, Regression Analysis, Soil Quality, Forecasting, Machine Learning

Authors

First Name

Mohamed

Last Name

Ziad Ali

MiddleName

-

Affiliation

Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt

Email

ch2100056@dhiet.edu.eg

City

-

Orcid

-

First Name

Faris

Last Name

H.Rizk

MiddleName

-

Affiliation

Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA

Email

farisrizk@jcsis.org

City

-

Orcid

-

First Name

Marwa

Last Name

M.Eid

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35111, Egypt

Email

mmm@ieee.org

City

-

Orcid

-

First Name

Abdelhameed

Last Name

Ibrahim

MiddleName

-

Affiliation

School of ICT, Faculty of Engineering, Design and Information & Communications Technology (EDICT), Bahrain Polytechnic, PO Box 33349, Isa Town, Bahrain

Email

abdelhameed.fawzy@polytechnic.bh

City

-

Orcid

-

First Name

Abdelaziz A.

Last Name

Abdelhamid

MiddleName

-

Affiliation

Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University, 11566, Cairo, Egypt

Email

abdelaziz@cis.asu.edu.eg

City

-

Orcid

-

First Name

Doaa

Last Name

Sami Khafaga

MiddleName

-

Affiliation

Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

Email

dskhafga@pnu.edu.sa

City

-

Orcid

-

First Name

Amel Ali Alhussan

Last Name

Ali Alhussan

MiddleName

-

Affiliation

Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

Email

aaalhussan@pnu.edu.sa

City

-

Orcid

-

First Name

Ahmed

Last Name

A. Mashaal

MiddleName

-

Affiliation

Department of Financial and Accounting Management Programs, Applied College, Princess Nora bint Abdul Rahman University, Saudi Arabia

Email

aamashaal@pnu.edu.sa

City

-

Orcid

-

First Name

EL-Sayed

Last Name

M. EL-Kenawy

MiddleName

-

Affiliation

Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt

Email

skenawy@ieee.org

City

-

Orcid

-

Volume

1

Article Issue

3

Related Issue

48710

Issue Date

2024-09-01

Receive Date

2024-04-15

Publish Date

2024-09-01

Page Start

255

Page End

270

Print ISSN

3009-6375

Online ISSN

3009-6219

Article File

JASSD_Volume 1_Issue 3_Pages 255-270.pdf

PDF . 646.0kB

Link

https://jassd.journals.ekb.eg/article_363308.html

Detail API

https://jassd.journals.ekb.eg/service?article_code=363308

Order

363,308

Type

Original Article

Type Code

2,978

Publication Type

Journal

Publication Title

Journal of Agricultural Sciences and Sustainable Development

Publication Link

https://jassd.journals.ekb.eg/

MainTitle

Analyzing Soil Quality and Fertility in Agriculture: A Comprehensive Review of Regression Techniques

Details

Type

Article

Created At

20 Dec 2024