Hybrid Models for Plant Disease Detection using Transfer Learning Technique

P Sharma, RK Yadav, SS Rawat - 2023 10th International …, 2023 - ieeexplore.ieee.org
Plant diseases can sometimes be so bad that there is no grain harvest at all. Consequently,
there is a great need for automatic plant disease identification and diagnosis in the realm of …

Analysis of CNN Models using Augmented Data in Tomato Diseases

P Sharma, RK Yadav, SS Rawat - 2024 11th International …, 2024 - ieeexplore.ieee.org
A vital source of nourishment for millions of people, tomatoes are one of the most significant
vegetables in the world. However, many diseases may substantially decrease the yield and …

[PDF][PDF] Efficient deep learning models for tomato plant disease classification based on leaf image

MM Gunarathna, R Rathmayaa - International Conference on Advances …, 2020 - fct.kln.ac.lk
Tomato is grown in outdoor fields, greenhouses, and net houses in almost every country
around the world. However, unfortunately, many diseases on these tomato plants have …

Customized Deep CNN for Foliar Disease Prediction Based on Features Extracted from Apple Tree Leaves Images

K Sujatha, K Gayatri, MS Yadav… - 2022 International …, 2022 - ieeexplore.ieee.org
India is an agricultural country, almost 80% of rural people are depending on agriculture
only. From the years a lot of technologies evolved that are used in designing various …

Implementation of Deep Convolution Neuro-Fuzzy Network to Plant Disease Detection, Risk Assessment, and Classification

AK Koshariya, MS Ashraf, R Nigam… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Indian agriculture drives the economy. Sickness is common in plants exposed to several
environmental conditions. This lowers crop quality. Due to recent weather changes, farmers' …

Deep learning based Rice plant Disease Identification with Transfer learning

CS Shibi, RB Lincy, JJ Rubia… - … , and Intelligent Systems …, 2022 - ieeexplore.ieee.org
Agriculture is the chief food division in India. Mainly most of the peoples are using the rice for
food, even in world wide. But the diseases of rice plant threatening the food part. The …

Crop recommendation and disease detection using deep neural networks

A Singh, AK Bhamboo - 2022 IEEE 6th Conference on …, 2022 - ieeexplore.ieee.org
Indian farmers use traditional practices and view-points to fully use their land. Taking into
account the requirements of agriculture, the choice of crops is essential to farming. By …

An Efficient Method for Leaf Diseases Detection Using Deep Learning Technique

TL Narayana, CP Kumar… - 2023 International …, 2023 - ieeexplore.ieee.org
Leaf diseases identification and sorting are essential responsibilities in crops, and they pose
a significant challenge in today's agriculture and food processing environments since they …

High-performance deep transfer learning model with batch normalization based on multiscale feature fusion for tomato plant disease identification and categorization

R Ramya, P Kumar - Environmental Research Communications, 2023 - iopscience.iop.org
Deep learning and machine learning are cutting-edge methods for analysing images that
have considerable potential. Artificial Neural Networks (A-NNs), one of the most well-known …

Fruit Disease Prediction with Fertilizer Recommendation for Citrus Family using Deep Learning

N Valarmathi, MB Kannan… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Numerous diseases, including lemon canker, melanose, orange black spot, etc., harm the
citrus fruit plants. Citrus canker is a contagious ailment of citrus trees that causes yellow halo …