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 …
Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
Agriculture is crucial to the economic prosperity and development of India. Plant diseases
can have a devastating influence towards food safety and a considerable loss in the …
can have a devastating influence towards food safety and a considerable loss in the …
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
Plant diseases and insect pests cause a significant threat to agricultural production. Early
detection and diagnosis of these diseases are critical and can reduce economic losses. The …
detection and diagnosis of these diseases are critical and can reduce economic losses. The …
A CNN-SVM study based on selected deep features for grapevine leaves classification
The main product of grapevines is grapes that are consumed fresh or processed. In addition,
grapevine leaves are harvested once a year as a by-product. The species of grapevine …
grapevine leaves are harvested once a year as a by-product. The species of grapevine …
Grape leaf disease identification using improved deep convolutional neural networks
B Liu, Z Ding, L Tian, D He, S Li, H Wang - Frontiers in Plant Science, 2020 - frontiersin.org
Anthracnose, brown spot, mites, black rot, downy mildew, and leaf blight are six common
grape leaf pests and diseases, which cause severe economic losses to the grape industry …
grape leaf pests and diseases, which cause severe economic losses to the grape industry …
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 …
An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm
S Nandhini, K Ashokkumar - Neural Computing and Applications, 2022 - Springer
Farmers are struggling to provide the fast-growing population with sufficient agricultural
products, while plant diseases result in devastating food loss. The billions of dollars spent by …
products, while plant diseases result in devastating food loss. The billions of dollars spent by …
Food quality inspection and grading using efficient image segmentation and machine learning‐based system
V Hemamalini, S Rajarajeswari… - Journal of Food …, 2022 - Wiley Online Library
One of the most critical aspects of quality assurance is inspecting products for defects before
they are sold or shipped. A good product is more vital than having more of the same item for …
they are sold or shipped. A good product is more vital than having more of the same item for …