About this document
Machine Learning for Plant Nutrient Detection by shrinidhishinde22 is a document available to read on EtoBox.
This paper discusses the development of a machine learning model using artificial neural networks to detect and classify nutrient deficiencies in tomato plants based on leaf characteristics. The study highlights the importance of nutrients for plant growth and how deficiencies can be identified through visual symptoms on leaves. By employing image processing techniques, the proposed system aims to assist farmers in optimizing nutrient supply, ultimately improving crop yield.
- Author
- shrinidhishinde22
- Language
- EN