Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
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 …

[HTML][HTML] Review of agricultural IoT technology

J Xu, B Gu, G Tian - Artificial Intelligence in Agriculture, 2022 - Elsevier
Abstract Agricultural Internet of Things (IoT) has brought new changes to agricultural
production. It not only increases agricultural output but can also effectively improve the …

Edge-computing-driven internet of things: A survey

L Kong, J Tan, J Huang, G Chen, S Wang, X **… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

[HTML][HTML] Smart farming for improving agricultural management

ES Mohamed, AA Belal, SK Abd-Elmabod… - The Egyptian Journal of …, 2021 - Elsevier
The food shortage and the population growth are the most challenges facing sustainable
development worldwide. Advanced technologies such as artificial intelligence (AI), the …

Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation

C Prakash, LP Singh, A Gupta, SK Lohan - Sensors and Actuators A …, 2023 - Elsevier
Agriculture automation is a primary issue and a rapidly develo** field for the nation. The
global population is growing swiftly, so there is a severe need to fulfill food demand …

[HTML][HTML] Advances in smart environment monitoring systems using IoT and sensors

SL Ullo, GR Sinha - Sensors, 2020 - mdpi.com
Air quality, water pollution, and radiation pollution are major factors that pose genuine
challenges in the environment. Suitable monitoring is necessary so that the world can …

Death by waste: Fashion and textile circular economy case

K Shirvanimoghaddam, B Motamed… - Science of the total …, 2020 - Elsevier
In a circular economy model the way we use the textiles needs to change at a fundamental
level. A circular economy is an alternative to a traditional economy (fabrication, use and …

Intrusion detection using machine learning for risk mitigation in IoT‐enabled smart irrigation in smart farming

A Raghuvanshi, UK Singh, GS Sajja… - Journal of Food …, 2022 - Wiley Online Library
The majority of countries rely largely on agriculture for employment. Irrigation accounts for a
sizable amount of water use. Crop irrigation is an important step in crop yield prediction …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
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 …

[HTML][HTML] A survey on communication protocols and performance evaluations for Internet of Things

C Bayılmış, MA Ebleme, Ü Çavuşoğlu, K Küçük… - Digital Communications …, 2022 - Elsevier
Abstract The Internet of Things (IoT) is a large-scale network of devices capable of sensing,
data processing, and communicating with each other through different communication …