• Neha Saini
• Harjinder Kaur

Technology is advancing and can be used to tackle the problem of image classification. This review researches ecological change over a 30-year time frame and endeavors to pick up a superior comprehension of human effects on a dry domain and their outcomes for territorial advancement. Multi fleeting remotely detected soil fertility was obtained and incorporated to set up the reason for soil recognition and process examination. In this paper we review all the techniques used for soil fertility detection using remote sensing and it also studied mechanism to tackle issue of remote sensing and provide the information about soil detection that is experimentally validated. Image processing techniques are used for the purpose of classification. These techniques are also reviewed.

K-means Clustering, Iterative approaches, Fuzzy neural based

"A Critical Analysis of Soil Detection Using Remote Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.498-504, June 2019, Available :http://www.jetir.org/papers/JETIR1907J61.pdf

"A Critical Analysis of Soil Detection Using Remote Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp498-504, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J61.pdf