Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
Deep learning-based leaf disease detection in crops using images for agricultural applications
The agricultural sector plays a key role in supplying quality food and makes the greatest
contribution to growing economies and populations. Plant disease may cause significant …
contribution to growing economies and populations. Plant disease may cause significant …
Artificial driving based EfficientNet for automatic plant leaf disease classification
Plant disease (PD) detection is a substantial problem that needs to be tackled to develop the
economy and improve agricultural production. Using conventional methods to classify plant …
economy and improve agricultural production. Using conventional methods to classify plant …
A systematic review of different categories of plant disease detection using deep learning-based approaches
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and helping the world improve …
replacing traditional methods with more efficient techniques and helping the world improve …
An improved deep learning approach for localization and recognition of plant leaf diseases
A nation's economic progress is significantly influenced by its percentage of crop yields.
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection
Emerging in the realm of bioinformatics, plant bioinformatics integrates computational and
statistical methods to study plant genomes, transcriptomes, and proteomes. With the …
statistical methods to study plant genomes, transcriptomes, and proteomes. With the …
Balancing composite motion optimization using R-ERNN with plant disease
R Venkatesan, GN Balaji - Applied Soft Computing, 2024 - Elsevier
Soybean is a crop with a long cultivation history that plays a significant role on agricultural
field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it …
field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it …
A new deep learning-based dynamic paradigm towards open-world plant disease detection
Plant disease detection has made significant strides thanks to the emergence of deep
learning. However, existing methods have been limited to closed-set and static learning …
learning. However, existing methods have been limited to closed-set and static learning …