Plant diseases and pests detection based on deep learning: a review
J Liu, X Wang - Plant Methods, 2021 - Springer
Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …
Plant diseases and pests identification can be carried out by means of digital image …
Plant disease detection and classification by deep learning—a review
L Li, S Zhang, B Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …
automatic learning and feature extraction, it has been widely concerned by academic and …
A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …
must be considered to develop a robust system for accurate disease management. A …
Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
Agricultural plant diseases identification: From traditional approach to deep learning
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …
population rate increases the demand for food supply also increases. Today, the significant …
Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
Plant disease detection and classification by deep learning
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …
is very important. Many Machine Learning (ML) models have been employed for the …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
IoT and interpretable machine learning based framework for disease prediction in pearl millet
Decrease in crop yield and degradation in product quality due to plant diseases such as rust
and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The …
and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The …