Abstract: Soil Classification deals with the systematic categorization of soils based on distinguished characteristics as well as criteria. We developed Data Mining techniques like: GATree, Fuzzy Classification rules and Fuzzy C- Means algorithm for classifying soil texture in agriculture soil data. In this paper, we give a comparative study of developed algorithms. The study is used to compare and analyze the soil data
Soil science and its integration with machine learning has been into practice since the past few dec...
Predictive soil modelling using geostatistical methods is a research concept in modern soil science ...
In this project we will be making a Soil Classification and Crop Recommendation System. This appplic...
Data mining techniques are used in different areas. These data mining techniques are used in commerc...
The advances in computing and information storage have provided vast amounts of data. The challenge ...
Abstract— Agriculture is the most essential component of Indian economic system. To increase yield p...
Agronomic and pastoral research in East Morocco depend an evolution in time and space of the soil wh...
Data mining methods have been proven effective in extracting knowledge from existing data sources fo...
A problem of soil clustering based on the chemical characteristics of soil, and proper visual repres...
The techniques of data mining are extremely popular in the area of agriculture. Data mining involves...
A system for classifying and arranging information about soil is known as soil classification. This ...
The major source of living for the people of India is agriculture. It is considered as important eco...
WOS: 000231443400005In this study, hard k-means and fuzzy c-means algorithms are utilized for the cl...
India is one of the leading countries in sericulture. Karnataka�s contribution is also significant a...
Soil classification is a major problem and a heated topic in many countries. The world's population ...
Soil science and its integration with machine learning has been into practice since the past few dec...
Predictive soil modelling using geostatistical methods is a research concept in modern soil science ...
In this project we will be making a Soil Classification and Crop Recommendation System. This appplic...
Data mining techniques are used in different areas. These data mining techniques are used in commerc...
The advances in computing and information storage have provided vast amounts of data. The challenge ...
Abstract— Agriculture is the most essential component of Indian economic system. To increase yield p...
Agronomic and pastoral research in East Morocco depend an evolution in time and space of the soil wh...
Data mining methods have been proven effective in extracting knowledge from existing data sources fo...
A problem of soil clustering based on the chemical characteristics of soil, and proper visual repres...
The techniques of data mining are extremely popular in the area of agriculture. Data mining involves...
A system for classifying and arranging information about soil is known as soil classification. This ...
The major source of living for the people of India is agriculture. It is considered as important eco...
WOS: 000231443400005In this study, hard k-means and fuzzy c-means algorithms are utilized for the cl...
India is one of the leading countries in sericulture. Karnataka�s contribution is also significant a...
Soil classification is a major problem and a heated topic in many countries. The world's population ...
Soil science and its integration with machine learning has been into practice since the past few dec...
Predictive soil modelling using geostatistical methods is a research concept in modern soil science ...
In this project we will be making a Soil Classification and Crop Recommendation System. This appplic...