Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network
Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in quantity depending on how they are fertilized. Leaf disease is the primary factor impacting the amount and quality of crop yield. As a result, it is critical to diagnose and classify these disorders appropriate...
Κύριοι συγγραφείς: | Naresh K. Trivedi, Vinay Gautam, Abhineet Anand, Hani Moaiteq Aljahdali, Santos Gracia Villar, Divya Anand, Nitin Goyal, Seifedine Kadry |
---|---|
Μορφή: | Άρθρο |
Γλώσσα: | English |
Έκδοση: |
MDPI AG
2021-11-01
|
Σειρά: | Sensors |
Θέματα: | |
Διαθέσιμο Online: | https://www.mdpi.com/1424-8220/21/23/7987 |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework
ανά: Mahesha Pandit, κ.ά.
Έκδοση: (2022-01-01) -
An optimized capsule neural networks for tomato leaf disease classification
ανά: Lobna M. Abouelmagd, κ.ά.
Έκδοση: (2024-01-01) -
Explainable Neural Network for Classification of Cotton Leaf Diseases
ανά: Javeria Amin, κ.ά.
Έκδοση: (2022-11-01) -
Synergistic use of handcrafted and deep learning features for tomato leaf disease classification
ανά: Mohamed Bouni, κ.ά.
Έκδοση: (2024-11-01) -
A Deep Learning Based Approach for Patient Pulmonary CT Image Screening to Predict Coronavirus (SARS-CoV-2) Infection
ανά: Parag Verma, κ.ά.
Έκδοση: (2021-09-01)