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 …
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 …
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
The triboelectric nanogenerator (TENG), as a promising energy harvesting technology,
provides a new approach for the realization of the Internet of Things (IoTs). However …
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' …
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 …
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
Precision farming aims to optimizing the crop production process and managing sustainable
supply chain practices as more efficient and reasonable as possible. Recently, various …
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
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 …
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
The agriculture sector, worldwide, faces grand challenges that significantly threaten food
security and environmental sustainability. Smart farming technologies (SFTs) have emerged …
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
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 …
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
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 …
role in China's grain production. Timely and accurate crop information for NCP is very …