• Rupinder Kaur
• Aditi Rawat

Machine learning is a strategy for showing PCs how to perform complex undertakings that can't be effectively depicted or prepared by people and to make forecasts. It is a combination of Mathematical Optimization and Statistics. In recent times many research work has been done regarding detection and recognition of various objects like fruits, flower and many living objects through machine learning. In this research, we propose marigold flower detection and recognition through machine learning over its different class of flower shape and petals attributes.

Machine Learning, Supervised Learning, Image Processing, Yield prediction precision, Flower Extraction.

"PURPOSED METHODOLOGY OF SUPERVISED LEARNING TECHNIQUE OF FLOWER FEATURE RECOGNITION THROUGH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.492-497, June 2019, Available :http://www.jetir.org/papers/JETIR1907J60.pdf

"PURPOSED METHODOLOGY OF SUPERVISED LEARNING TECHNIQUE OF FLOWER FEATURE RECOGNITION THROUGH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp492-497, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J60.pdf