Soil Testing and Crop-Suggestion Using Data Mining

Autor: Thomas, Priya, Ms. Sruthimol Kurian
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6180525
Popis: — Agriculture is the most essential component of Indian economic system. To increase yield production, many factors are responsible. Data mining plays an important role in agriculture sector. Data mining is the process of mining important information from a collection of huge data set and transform this into an understandable form for future use. There for the aim of this work is to predict soil type by using data mining classification techniques. In this study, soil dataset containing soil test outcomes has been used to apply various classification strategies in data mining. Soil type deals with the categorization of soil into specific soil classes as “very low”, “low”, “medium”, “high”, and “very high” on the idea of % of nutrient determined within the soil and on the basis of these lessons crops are recommended for a soil portion.
Databáze: OpenAIRE