A survey of few-shot learning in smart agriculture: developments, applications, and challenges

J Yang, X Guo, Y Li, F Marinello, S Ercisli, Z Zhang - Plant Methods, 2022 - Springer
With the rise of artificial intelligence, deep learning is gradually applied to the field of
agriculture and plant science. However, the excellent performance of deep learning needs …

Recent contributions of some fields of the electronics in development of forest operations technologies

R Picchio, AR Proto, V Civitarese, N Di Marzio… - Electronics, 2019 - mdpi.com
In the last years, there has been a growing need to improve forest-wood chain concerning
all three pillars of sustainability (economic, environmental, and social). Using electronic …

A feasibility study on the use of a structured light depth-camera for three-dimensional body measurements of dairy cows in free-stall barns

A Pezzuolo, M Guarino, L Sartori, F Marinello - Sensors, 2018 - mdpi.com
Frequent checks on livestock's body growth can help reducing problems related to cow
infertility or other welfare implications, and recognizing health's anomalies. In the last ten …

Applications of GIS-based software to improve the sustainability of a forwarding operation in central Italy

R Picchio, F Latterini, PS Mederski, D Tocci, R Venanzi… - Sustainability, 2020 - mdpi.com
Reducing potential soil damage due to the passing of forest machinery is a key issue in
sustainable forest management. Limiting soil compaction has a significant positive impact on …

Development of three-dimensional pavement texture measurement technique using surface structured light projection

H Wang, J Ma, H Yang, F Sun, Y Wei, L Wang - Measurement, 2021 - Elsevier
To realize active, non-contact, high-precision and full-field measurement of pavement
texture, an innovative surface structured light projection (SSLP) based technique is …

A novel strengthened road roughness estimation framework based on the adaptive unbiased minimum variance with unknown input

L Kong, X Zhao, P Shi, Q Yu - Vehicle System Dynamics, 2024 - Taylor & Francis
The accurate acquisition of the strengthened road roughness is significant to vehicle
reliability and durability. However, the existing road roughness estimation methods are …

Dual Stream Meta Learning for Road Surface Classification and Riding Event Detection on Shared Bikes

S Jiang, Z Strout, B He, D Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Road surface condition monitoring and bike riding event detection are crucial in densely
populated cities for travel efficiency and rider safety. However, most current approaches are …

Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research

K Mbiyana, M Kans, J Campos… - Transportation …, 2023 - journals.sagepub.com
Gravel roads form a significant share of the global road network, usually in sparsely
populated rural areas. They are important, especially in agriculture, tourism, and forestry …

A review of sensors, sensor-platforms and methods used in 3D modelling of soil displacement after timber harvesting

B Talbot, R Astrup - Croatian Journal of Forest Engineering: Journal for …, 2021 - hrcak.srce.hr
Sažetak Proximal sensing technologies are becoming widely used across a range of
applications in environmental sciences. One of these applications is in the measurement of …

Integrating offline object tracking, signal processing, and artificial intelligence to classify relevant events in sawmilling operations

S Alexandru Borz, M Păun - Forests, 2020 - mdpi.com
Sawmilling operations are typically one of the most important cells of the wood supply chain
as they take the log assortments as inputs to which they add value by processing lumber …