Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture

A Wongchai, D rao Jenjeti, AI Priyadarsini, N Deb… - Ecological …, 2022 - Elsevier
Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …

Leaf disease classification in smart agriculture using deep neural network architecture and IoT

K Ramana, R Aluvala, MR Kumar… - Journal of Circuits …, 2022 - World Scientific
The Internet of Things (IoT) is bringing a new dimension to the smart farming market. This
helps the user to collect the data from the agricultural fields in real time and move it to …

[PDF][PDF] Ensemble of deep learning models for multi-plant disease classification in smart farming

HT Vo, LD Quach, TN Hoang - International Journal of …, 2023 - pdfs.semanticscholar.org
Plant disease identification at an early stage plays a crucial role in ensuring efficient
management of the diseases and crop protection. The occurrence of plant ailments can …

DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture

V Pallagani, V Khandelwal, B Chandra… - … symposium on smart …, 2019 - ieeexplore.ieee.org
The human population has been increasing exponentially and is estimated that the total
population will be at 8.6 billion by mid-2030. This tremendous rise in population will demand …

A comparative study of fine-tuning deep learning models for plant disease identification

EC Too, L Yujian, S Njuki, L Yingchun - Computers and Electronics in …, 2019 - Elsevier
Deep learning has recently attracted a lot of attention with the aim to develop a quick,
automatic and accurate system for image identification and classification. In this work, the …

[HTML][HTML] Solving current limitations of deep learning based approaches for plant disease detection

M Arsenovic, M Karanovic, S Sladojevic, A Anderla… - Symmetry, 2019 - mdpi.com
Plant diseases cause great damage in agriculture, resulting in significant yield losses. The
recent expansion of deep learning methods has found its application in plant disease …

[HTML][HTML] Smart agriculture applications using deep learning technologies: A survey

M Altalak, M Ammad uddin, A Alajmi, A Rizg - Applied Sciences, 2022 - mdpi.com
Agriculture is considered an important field with a significant economic impact in several
countries. Due to the substantial population growth, meeting people's dietary needs has …

Plant disease identification based on deep learning algorithm in smart farming

Y Guo, J Zhang, C Yin, X Hu, Y Zou… - Discrete Dynamics in …, 2020 - Wiley Online Library
The identification of plant disease is the premise of the prevention of plant disease efficiently
and precisely in the complex environment. With the rapid development of the smart farming …

Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture

T Akilan, KM Baalamurugan - Expert systems with applications, 2024 - Elsevier
India's agricultural sector is dwindling, which has an impact on ecosystem output. Smart
farming increases crop productivity by reducing waste and making effective use of fertiliser …

Artificial intelligence-enabled soft sensor and internet of things for sustainable agriculture using ensemble deep learning architecture

A Wongchai, SK Shukla, MA Ahmed, U Sakthi… - Computers and …, 2022 - Elsevier
IoT (Internet of things) and Artificial Intelligence (AI), as well as other advanced computing
technologies, have long been used in agriculture. AI-enabled sensors function as smart …