A framework for detection and classification of plant leaf and stem diseases

By Dheeb Al Bashish, Malik Braik, Sulieman Bani-Ahmad. 2010 International Conference on Signal and Image Processing, 2010

346 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/0c560185e11cb4ace1f35c5cd6a67146427127a5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Biswajeet Pradhan
2. Siva K. Balasundram
3. G. Vadamalai
4. K. Golhani

In Plant Science

1. Siva K. Balasundram

Citations in the corpus

• A review of neural networks in plant disease detection using hyperspectral data (2018, methodology): “[52] used an image processing based framework for detection of five diseases, namely, early scorch, cottony mold, ashen mold, late scorch, and tiny whiteness of rice leaves and stems.”
• Plants Disease Identification and Classification Through Leaf Images: A Survey (2018, neutral): “One such work utilizes image processing techniques to detect and classify five leaf diseases, late scorch , early scorch , ashen mold , small whiteness , and cottony mold [50].”