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 …

How can precision farming work on a small scale? A systematic literature review

T Mizik - Precision agriculture, 2023 - Springer
The agri-food industry faces a great challenge due to the growing global population. When
considering land scarcity, this can be solved only by a higher production efficiency …

Super‐durable, low‐wear, and high‐performance fur‐brush triboelectric nanogenerator for wind and water energy harvesting for smart agriculture

P Chen, J An, S Shu, R Cheng, J Nie… - Advanced Energy …, 2021 - Wiley Online Library
The triboelectric nanogenerator (TENG), as a promising energy harvesting technology,
provides a new approach for the realization of the Internet of Things (IoTs). However …

Smart farming technologies adoption: Which factors play a role in the digital transition?

C Giua, VC Materia, L Camanzi - Technology in Society, 2022 - Elsevier
Abstract Smart Farming Technologies (SFT) are smart devices part of a cyber-physical
system able to improve farm management. Compared to other digital technologies' …

A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of …

MH Ronaghi, A Forouharfar - Technology in Society, 2020 - Elsevier
Smart Farming is the application of modern technologies, tools and gadgets for increasing
the agricultural crops quality and quantity. The Internet of Things (IoT) technology has had a …

Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture

J Kong, H Wang, X Wang, X Jin, X Fang… - Computers and Electronics …, 2021 - Elsevier
Precision farming aims to optimizing the crop production process and managing sustainable
supply chain practices as more efficient and reasonable as possible. Recently, various …

State of major vegetation indices in precision agriculture studies indexed in web of science: A review

D Radočaj, A Šiljeg, R Marinović, M Jurišić - Agriculture, 2023 - mdpi.com
Vegetation indices provide information for various precision-agriculture practices, by
providing quantitative data about crop growth and health. To provide a concise and up-to …

Adoption of smart farming technologies in field operations: A systematic review and future research agenda

HY Osrof, CL Tan, G Angappa, SF Yeo, KH Tan - Technology in Society, 2023 - Elsevier
The agriculture sector, worldwide, faces grand challenges that significantly threaten food
security and environmental sustainability. Smart farming technologies (SFTs) have emerged …

[HTML][HTML] Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production

RJ Thomas, G O'Hare, D Coyle - Technological Forecasting and Social …, 2023 - Elsevier
Smart agriculture offers the potential to analyse agricultural data at a scale not previously
possible. Researchers argue that the combination of rich data and intelligent decision …

Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning

K Luo, L Lu, Y Xie, F Chen, F Yin, Q Li - Computers and Electronics in …, 2023 - Elsevier
Abstract The North China Plain (NCP), a major agricultural area in China, plays an important
role in China's grain production. Timely and accurate crop information for NCP is very …