Image processing for smart farming: Detection of disease and fruit grading

By M. Jhuria, Ashwani Kumar, R. Borse. International Conference on Intelligent Information Processing, 2013

318 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/d13013c1c64604c283a190c0e59cbe1a81d5ffa9

How researchers see this paper

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

1. O. Elijah
2. Tharek Abdul Rahman
3. Igbafe Orikumhi
4. M. N. Hindia
5. Chee Yen (Bruce) Leow
6. A. Patil
7. Sachin D. Khirade
8. Rajendra P. Sishodia

Citations in the corpus

• An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges (2018, background): “ous purposes ranging from detection of disease in leaf, stem, and fruit [90], quality of fruits [91], and weed detection and irrigation [76], [90], [92]–[94].”
• Plant Disease Detection Using Image Processing (2015, background): “In paper [3], Monica jhuria et al considers color, texture and morphology as a feature for disease detection.”