Current Volume 7
Abstract
Pest damage to plants and crops has an impact on the nation's agricultural output. In most cases, farmers or professionals watch the plants carefully for signs of illness. However, this procedure is frequently time-consuming, costly, and unreliable. Results from automatic detection employing image processing methods are quick and precise. This study uses deep convolutional networks to establish a new method for developing illness detection models that is backed by leaf image categorization. The area of precision agriculture has a possibility to grow and improve the practice of precise plant protection as well as the market for computer vision applications. A quick and simple system is made possible by the approach utilized and a wholly original manner of training.
Keywords
Plant Disease Detection, Machine Learning, Image Processing, Deep Learning, Convolutional Neural Network
Citations
IRE Journals:
Prashant Chawla , Dr. K. C. Tripathi , Dr. M. L. Sharma
"Smart Agriculture: Improving Crop Health" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 1177-1180
IEEE:
Prashant Chawla , Dr. K. C. Tripathi , Dr. M. L. Sharma
"Smart Agriculture: Improving Crop Health" Iconic Research And Engineering Journals, 6(12)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12