IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications

S Ghazal, A Munir, WS Qureshi - Artificial Intelligence in Agriculture, 2024 - Elsevier
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

Crop prediction based on characteristics of the agricultural environment using various feature selection techniques and classifiers

SP Raja, B Sawicka, Z Stamenkovic… - IEEe Access, 2022 - ieeexplore.ieee.org
Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …

A review on smart irrigation management strategies and their effect on water savings and crop yield

S Touil, A Richa, M Fizir… - Irrigation and …, 2022 - Wiley Online Library
Appropriate irrigation water management has attracted a considerable degree of attention
because it is crucial to guarantee water and food security worldwide. A smart irrigation …

A bibliometric review of the use of unmanned aerial vehicles in precision agriculture and precision viticulture for sensing applications

AP Singh, A Yerudkar, V Mariani, L Iannelli, L Glielmo - Remote Sensing, 2022 - mdpi.com
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture,
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …

Multi-robot information gathering for precision agriculture: Current state, scope, and challenges

A Dutta, S Roy, OP Kreidl, L Bölöni - Ieee Access, 2021 - ieeexplore.ieee.org
Precision agriculture is the collection of hardware and software technologies that allow a
farmer to make informed, differentiated decisions regarding agricultural operations such as …

[HTML][HTML] The application of machine learning techniques for smart irrigation systems: A systematic literature review

A Younes, ZE Abou Elassad, O El Meslouhi… - Smart Agricultural …, 2024 - Elsevier
Abstract Smart Irrigation System is a complex concept used to control, monitor and automate
the irrigation of yields by integrating artificial intelligence techniques such as Machine …

[HTML][HTML] Towards efficient irrigation management at field scale using new technologies: A systematic literature review

A Bounajra, K El Guemmat, K Mansouri… - Agricultural Water …, 2024 - Elsevier
Life on earth is linked to water resources. Recently, alarm bells have been ringing in global
organizations to raise awareness of the importance of rational use of water resources, which …

[HTML][HTML] Combination of effective color information and machine learning for rapid prediction of soil water content

G Liu, S Tian, G Xu, C Zhang, M Cai - Journal of Rock Mechanics and …, 2023 - Elsevier
Soil water content (SWC) is one of the critical indicators in various fields such as
geotechnical engineering and agriculture. To avoid the time-consuming, destructive, and …

An ensemble deep learning approach for predicting cocoa yield

SS Olofintuyi, EA Olajubu, D Olanike - Heliyon, 2023 - cell.com
One important aspect of agriculture is crop yield prediction. This aspect allows decision-
makers and farmers to make adequate planning and policies. Before now, various statistical …