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 …
A comparative study of deep learning and Internet of Things for precision agriculture
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
[HTML][HTML] An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
M Desai, M Shah - Clinical eHealth, 2021 - Elsevier
This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
D Wu, S Lv, M Jiang, H Song - Computers and Electronics in Agriculture, 2020 - Elsevier
Achieving the rapid and accurate detection of apple flowers in natural environments is
essential for yield estimation and the development of an automatic flower thinner. A real-time …
essential for yield estimation and the development of an automatic flower thinner. A real-time …
An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages
Agriculture 4.0 upgrades traditional production methods and world agriculture strategies to
an optimized value chain using a range of emerging technologies that enhance disruptive …
an optimized value chain using a range of emerging technologies that enhance disruptive …
[HTML][HTML] Precision irrigation management using machine learning and digital farming solutions
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
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 …
[HTML][HTML] Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …
every sector of finance have grown immensely, text mining has emerged as an important …
Crime analysis using computer vision approach with machine learning
P William, A Shrivastava… - … Communications and 5G …, 2023 - Springer
Depending on the seriousness of the offence, any deliberate act that causes harm to oneself
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …