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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 …
Artificial intelligence-based solutions for climate change: a review
L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …
systems, and inducing global economic losses of over $500 billion. These issues may be …
Smart sensors and smart data for precision agriculture: a review
Precision agriculture, driven by the convergence of smart sensors and advanced
technologies, has emerged as a transformative force in modern farming practices. The …
technologies, has emerged as a transformative force in modern farming practices. The …
An optimized CNN-based intrusion detection system for reducing risks in smart farming
Smart farming is a well-known and superior method of managing a farm, becoming more
prevalent in today's contemporary agricultural practices. Crops are monitored for their …
prevalent in today's contemporary agricultural practices. Crops are monitored for their …
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] A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs
When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs)
occurred, tens of applications including smart agriculture have emerged to offer innovative …
occurred, tens of applications including smart agriculture have emerged to offer innovative …
Evaluation of Machine Learning approaches for precision farming in Smart Agriculture System-A comprehensive Review
In the era of digital data proliferation, agriculture stands on the cusp of a transformative
revolution driven by Machine Learning (ML). This study delves into the intricate interplay …
revolution driven by Machine Learning (ML). This study delves into the intricate interplay …
Design and Implementation of Smart Hydroponics Farming Using IoT‐Based AI Controller with Mobile Application System
Hydroponics is the soil less agriculture farming, which consumes less water and other
resources as compared to the traditional soil‐based agriculture systems. However …
resources as compared to the traditional soil‐based agriculture systems. However …
Intrusion detection in internet of things-based smart farming using hybrid deep learning framework
Smart agriculture is a popular domain due to its intensified growth in recent times. This
domain aggregates the advantages of several computing technologies, where the IoT is the …
domain aggregates the advantages of several computing technologies, where the IoT is the …
Nanotechnology's role in ensuring food safety and security
V Kiran, K Harini, A Thirumalai, K Girigoswami… - Biocatalysis and …, 2024 - Elsevier
Globally, there is significant apprehension surrounding food safety and security. Addressing
the formidable challenge of ensuring a sustainable provision of nutrient-dense and safe food …
the formidable challenge of ensuring a sustainable provision of nutrient-dense and safe food …