• Dr.S.Samunddeswari
• D.Jaya kumar

Farmers usually plan the cultivation process-based o n t their previous experiences. Due to the lack of precise knowledge about cultivation, they end up cultivating undesirable crops. To help the farmers take decisions that can make their farming more efficient and profitable, the research tries to establish an intelligent information prediction analysison farming inIndia. However, this way of farming here is still at the initial stage. Observing at the present state of affairs long-faced by farmers in geographic area, we've determined that there's a risein suicide rate over the years. the explanations behind this includes weather, debt, family problems and frequent amendment in Indian government norms. typically, farmers aren't privy to the crop that suits their soil quality, soil nutrients and soil composition. The work proposes to assist farmers check the soil quality reckoning on the analysis done supported data processing approach. Therefore, the system focuses on checking the soil quality to predict the crop appropriate for cultivation in step with their soil kind and maximize the crop yield with recommending applicable chemical.

Self-Organizing Map, Back-Propagation Neural Networks, Application Programming Interface.

"MACHINE LEARNING BASED CROP CULTIVATION FOR AGRICULTURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.51-58, May-2019, Available :http://www.jetir.org/papers/JETIRCI06010.pdf

"MACHINE LEARNING BASED CROP CULTIVATION FOR AGRICULTURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp51-58, May-2019, Available at : http://www.jetir.org/papers/JETIRCI06010.pdf