• Bhagyashri jaybhim kamble
• Piyush manohar apkaje
• Priya dipak gomase
• Monish pramodrao pund
• Sukanya vitthalrao umbarkar

Agricultural is one of the most important sector within the Indian economy. Over seventy percent of the agricultural households depends upon agriculture. Many farmers do not test their soil because they think it as a waste of time and money. Very few farmers rely on soil testing, done by governments labs which is not available near them. Many farmers don't have any knowledge about which is our soil color, which crop should be planted and which fertilizers could be beneficial for soil. The image processing is most recent technology for soil determination. We use digital image processing with computer-based algorithm techniques for performing image processing or digital photography. Our project aims to reduce farmer time and money and find them an easy way to testing their soil and let them know about their soil color and crop through this image processing

"Agricultural Performance Enhancement by Identifying Suitability of Soil for Specific Type Crop Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.d426-d429, May-2021, Available :http://www.jetir.org/papers/JETIR2105444.pdf

"Agricultural Performance Enhancement by Identifying Suitability of Soil for Specific Type Crop Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppd426-d429, May-2021, Available at : http://www.jetir.org/papers/JETIR2105444.pdf