• bhawana sharma

To increase crop production is major concern in the fields of agriculture. Recent computation technologies can play important role to find gray area and provide optimal solutions. Machine learning and digital image processing can be used to enhance the crop selection, crop yield prediction, crop disease prediction, etc. In this paper, we study the applications of machine learning and Digital image processing used on wheat crop production. Objective of this study to identify the gap to increase the wheat crop production using digital image processing and machine learning provide a solution to finding the growth stages of wheat crop, once the growth stage of crop is found farmer can take precious and calculated step to enhance their production of wheat or other agricultural product. Proposed possible solutions to increase its productivity.

Machine Crop Management, Disease Detection. Learning Techniques, Digital Image Processing, Wheat Crop Production, Yield Prediction.

"Application of Machine Learning and Digital Image processing In Wheat Crop Production: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.342-348, June 2019, Available :http://www.jetir.org/papers/JETIR1908516.pdf

"Application of Machine Learning and Digital Image processing In Wheat Crop Production: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp342-348, June 2019, Available at : http://www.jetir.org/papers/JETIR1908516.pdf