Bridging the Gap in Precision Agriculture: A CNN-Random Forest Fusion for Disease Classification
A Kaur, V Kukreja, S Chamoli… - … on Advances in …, 2024 - ieeexplore.ieee.org
Within the framework of a rapidly expanding worldwide population and the critical need to
guarantee food security, precision agriculture has arisen as a crucial area of study and …
guarantee food security, precision agriculture has arisen as a crucial area of study and …
Towards Sustainable Mango Cultivation: Automated Severity Classification of Mango Rust Disease using CNN-SVM
The fungal pathogen Puccinia psidii is responsible for the disease known as mango rust,
which poses a severe risk to mango farming all over the world. It is essential to efficient …
which poses a severe risk to mango farming all over the world. It is essential to efficient …
Deep Insights into Mango Scab: An AI-Powered Approach for Detection and Classification
The mango, which comes from the plant genus Mangifera indica L., is a fruit crop that is well-
regarded all over the world due to its scrumptious flavor and noteworthy nutritional profile …
regarded all over the world due to its scrumptious flavor and noteworthy nutritional profile …
Automated Rice Panicle Blast Disease Severity Classification Using Hybrid CNN-LSTM Model
V Kukreja, V Sharma, R Sharma - 2024 Fourth International …, 2024 - ieeexplore.ieee.org
The plant species known as Oryza sativa, commonly called rice, plays a crucial role as a
staple crop, providing sustenance for a significant proportion of the world's population …
staple crop, providing sustenance for a significant proportion of the world's population …
Advanced Disease Management: An Encoder-Decoder Approach for Tomato Black Mold Detection
A Kaur, V Kukreja, S Chamoli… - 2023 IEEE Pune …, 2023 - ieeexplore.ieee.org
The global transmission of tomato black mold disease is a critical issue due to its substantial
impact on agricultural productivity and the overall quality of crops. The prompt highlights the …
impact on agricultural productivity and the overall quality of crops. The prompt highlights the …
Rice Sheath Rot Disease Detection and Severity Classification: A Novel Framework Leveraging CNN-LSTM Models for Multi-Classification
A Kaur, V Kukreja, S Malhotra, K Joshi… - … in Technology and …, 2024 - ieeexplore.ieee.org
The rice sheath rot disease presents a substantial risk to the cultivation of rice, necessitating
the prompt and precise identification of the illness and assessment of its severity. In this …
the prompt and precise identification of the illness and assessment of its severity. In this …
Mitigating Mustard Downy Mildew Disease: Early Detection and Prevention through a Hybrid CNN-SVM Model
Mustard Mustard (Brassica spp.) crops are threatened all over the world by Downy Mildew
Disease, brought on by the fungus Hyaloperonospora parasitica. By combining the strengths …
Disease, brought on by the fungus Hyaloperonospora parasitica. By combining the strengths …
Black rot disease classification of apples and grapes using convolutional neural network and transfer learning
Collecting a dataset for a specific plant disease is a very complex, costly, and time-
consuming process, involving the use of expensive equipment and monitoring the evolution …
consuming process, involving the use of expensive equipment and monitoring the evolution …
Deep Learning Meets Support Vector Machines: An Effective Hybrid Model for Banana Leaf Wilt Disease Severity Assessment
M Kumar, A Kumar - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
Throughout the world, bananas are grown as a staple crop that contributes significantly to
the economy. However, diseases like banana leaf wilt pose serious hazards that, if left …
the economy. However, diseases like banana leaf wilt pose serious hazards that, if left …