Key Technologies in Intelligent Seeding Machinery for Cereals: Recent Advances and Future Perspectives DOI Creative Commons
Wei Liu,

Jinhao Zhou,

Tengfei Zhang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 8 - 8

Published: Dec. 24, 2024

The operational performance of cereal seeding machinery influences the yield and quality cereals. In this article, we review existing literature on intelligent technologies for machinery, encompassing active controllable actuators, rate control, seed position control systems. manuscript, (1) characteristics innovative structures motor-driven seed-metering devices ground surface profiling mechanisms are expounded; (2) state-of-the-art detection principles applications soil property sensors described based different properties; (3) optimal decision approaches properties summarized; (4) research state measuring is expounded in detail; (5) trajectory methods depth systems measurement principles; (6) present state, limitations, future development directions described. future, more advanced multi-algorithm multi-sensor fusion detection, decisions, rates, likely to evolve. This not only expounds latest studies actuating, sensing, but also discusses shortcomings developing trends detail. review, therefore, offers a reference domain

Language: Английский

A backtracking search-based extreme gradient boosting algorithm for soil moisture prediction using meteorological variables DOI
Hojjat Emami, Somayeh Emami, Vahid Rezaverdinejad

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 16, 2025

Language: Английский

Citations

0

A Novel Adaptive Soil Moisture Retrieval Method is Proposed by Coupling Stacked Ensemble Learning with a Local Bayesian Dynamic Algorithm DOI

F. Wang,

Ruiping Li, Sinan Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Enhancing field-scale soil moisture content monitoring using UAV hyperspectral-derived multi-dimensional spectral response indices of crop comprehensive phenotypic traits DOI
Hao Liu, Junying Chen, Jiang Bian

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110399 - 110399

Published: April 15, 2025

Language: Английский

Citations

0

Key Technologies in Intelligent Seeding Machinery for Cereals: Recent Advances and Future Perspectives DOI Creative Commons
Wei Liu,

Jinhao Zhou,

Tengfei Zhang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 8 - 8

Published: Dec. 24, 2024

The operational performance of cereal seeding machinery influences the yield and quality cereals. In this article, we review existing literature on intelligent technologies for machinery, encompassing active controllable actuators, rate control, seed position control systems. manuscript, (1) characteristics innovative structures motor-driven seed-metering devices ground surface profiling mechanisms are expounded; (2) state-of-the-art detection principles applications soil property sensors described based different properties; (3) optimal decision approaches properties summarized; (4) research state measuring is expounded in detail; (5) trajectory methods depth systems measurement principles; (6) present state, limitations, future development directions described. future, more advanced multi-algorithm multi-sensor fusion detection, decisions, rates, likely to evolve. This not only expounds latest studies actuating, sensing, but also discusses shortcomings developing trends detail. review, therefore, offers a reference domain

Language: Английский

Citations

0