How to Cite: Balasaranya, K., Ezhumalai, P., Lalluprasad, B., Logesh, B. N., & Reddy, L. I. (2022). Crop cultivation and sustainability for agricultural lands based on soil and atmosphere conditions using modified deep valley algorithm. International Journal of Health Sciences, 6(S2), 12516–12524. https://doi.org/10.53730/ijhs.v6nS2.8304 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 09 March 2022, Manuscript revised: 18 April 2022, Accepted for publication: 27 May 2022 12516 Crop cultivation and sustainability for agricultural lands based on soil and atmosphere conditions using modified deep valley algorithm Mrs. K. Balasaranya Assistant Professor, Department of CSE, R.M.D. Engineering College Dr. P. Ezhumalai Professor and Head, Department of CSE, R.M.D Engineering College Mr. B. Lalluprasad Project Engineer, Wipro Limited Mr. B. N. Logesh Program Analyst Trainee, Cognizant Technology Solutions India Private Limited Mr. L. Indhiresh Reddy Student, Department of CSE, R.M.D. Engineering College. Abstract---Agriculture is the major aspect of human being worldwide. The production of the raw materials for both food and industries may not be sufficient in future given that population growth is rapid. The agriculture techniques was modernised in the past in many ways by shuffling the crop type, introduction of new farming, techniques, fertilizer, pesticides and farming equipments , looking forward to the future ecosystem control technologies can help increase production . It is not only that agriculture raw materials is a need but it also a good source of economy and if it becomes a good stable business it might attract more people into agriculture, increasing the farmer’s count which has been falling. The agricultural ecosystem can be sustained by predicting the type of the crop that can be sourced and would give major returns on the yield, this can be done using data science technique and machine will be trained with dataset. This will aid the farmers and vendors for increasing the productivity. Keywords---crop cultivation, agricultural lands, atmosphere conditions, soil.