Analyzing Soil Quality and Fertility in Agriculture: A Comprehensive Review of Regression Techniques | ||||
| Journal of Agricultural Sciences and Sustainable Development | ||||
| Volume 1, Issue 3, September 2024, Page 255-270 PDF (630.83 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jassd.2024.283055.1018 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Ziad Ali1; Faris H.Rizk2; Marwa M.Eid3; Abdelhameed Ibrahim4; Abdelaziz A. Abdelhamid5; Doaa Sami Khafaga6; Amel Ali Alhussan Ali Alhussan6; Ahmed A. Mashaal7; EL-Sayed M. EL-Kenawy  1
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| 1Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt | ||||
| 2Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA | ||||
| 3Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35111, Egypt | ||||
| 4School of ICT, Faculty of Engineering, Design and Information & Communications Technology (EDICT), Bahrain Polytechnic, PO Box 33349, Isa Town, Bahrain | ||||
| 5Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University, 11566, Cairo, Egypt | ||||
| 6Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia | ||||
| 7Department of Financial and Accounting Management Programs, Applied College, Princess Nora bint Abdul Rahman University, Saudi Arabia | ||||
| 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. | ||||
| Keywords | ||||
| Agriculture; Regression Analysis; Soil Quality; Forecasting; Machine Learning | ||||
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