Agriculture is the major source of income for majority of the citizens of our country. The people who are dependent on farming should know use future technologies to solve difficulties which are shortages in water, excess expenditure on goods required for farming. The production of crops has reduced due to change in climate, improper irrigation and reduction in the fertility of soil (Manjula and Djodiltachoumy in Data mining technique to analyze soil nutrients based on hybrid classification. IJARCS, 2017 [1]). Traditional way of practicing agriculture are all the reasons for consideration (Sadia et al. in IEEE ICIS, 80–85, 2018 [2]). Crop forecast is done using machine learning approaches for prediction. The objective made in this research is to look into how different ml algorithm can help with crop and fertilizer forecast.

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Crop and Fertilizer Prediction Based on Field Condition Using Machine Learning

  • R. Tejeshwar,
  • V. Manjula,
  • T. Kanishkar,
  • K. Sumanth

摘要

Agriculture is the major source of income for majority of the citizens of our country. The people who are dependent on farming should know use future technologies to solve difficulties which are shortages in water, excess expenditure on goods required for farming. The production of crops has reduced due to change in climate, improper irrigation and reduction in the fertility of soil (Manjula and Djodiltachoumy in Data mining technique to analyze soil nutrients based on hybrid classification. IJARCS, 2017 [1]). Traditional way of practicing agriculture are all the reasons for consideration (Sadia et al. in IEEE ICIS, 80–85, 2018 [2]). Crop forecast is done using machine learning approaches for prediction. The objective made in this research is to look into how different ml algorithm can help with crop and fertilizer forecast.