Recent Applications of Smart Technologies for Monitoring the Sustainability of Forest Operations

Venanzi, Rachele; Latterini, Francesco; Civitarese, V.; Picchio, Rodolfo

doi:10.3390/f14071503

Cited by 9 publications

(4 citation statements)

References 108 publications

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“…Similarly, the forest-based investment (Tech2) is significantly positive to escalate the FE of the Chinese province by 0.0334%. These findings can be robust with Venanzi et al (2023) [52], who argued that technology can be effective in improving the efficiency of forests by managing and monitoring forest activity. Further, El-Lakany et al (2001) [53] backed our study findings as they highlighted that technological developments have had a constructive impact on forest areas and conditions.…”

Section: Findings Of Long-run Analysissupporting

confidence: 65%

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Yasmeen,

Shah

2024

Forests

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The objective of this study is to examine the impact of climate and technology on forest efficiency (FE) in China’s provinces from 2002 to 2020. First, the study used SBM-data envelopment analysis (SBM-DEA) to estimate Chinese provinces’ FE using multidimensional forest inputs and outputs. The climate influence is assessed using temperature, precipitation, sunlight hours, and carbon dioxide levels in the second phase. A climate index was created using principal component analysis (PCA) for a complete estimation. In addition to prior research, we analyze the technology impact through two technological indicators: (i) research and development, and (ii) investment in forests. Furthermore, we explore the non-linear influence of economic development on both FE and climate quality. The regression study by CupFM and CupBC found that temperature and precipitation increase FE, whereas sunlight hours and carbon emissions decrease it. The positive association observed between Climate Index1, and the negative relationship noted for Climate Index2, suggests that forests positively influence climate conditions, signifying that an improvement in FE leads to an improvement in climate quality. Technology boosts forest productivity and climatic quality. The environmental Kuznets curve shows an inverted U-shape relationship between economic development and FE. Similarly, climate and economic development have an inverted U-shaped EKC relationship. Urbanization reduces FE due to human growth and activity. Our findings are important for forest management, climate change, and sustainable development policymakers and scholars.

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Section: Findings Of Long-run Analysissupporting

confidence: 65%

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Yasmeen,

Shah

2024

Forests

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“…Precision forestry is defined as the use of contemporary technology, including Information and Communication Technology (ICT), Geographic Information Systems (GISs), Global Navigation Satellite Systems (GNSSs), Unmanned Aerial Vehicles (UAVs), and a variety of sensors, to enhance the overall sustainability of forest management [12][13][14]. It is one of the most powerful tools for addressing the target of Sustainable Forest Management [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Evaluating an Innovative ICT System for Monitoring Small-Scale Forest Operations: Preliminary Tests in Mediterranean Oak Coppices

Picchio,

Venanzi,

Bonaudo

et al. 2024

Sustainability

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The application of modern technologies to increase the overall sustainability of forest operations is known as precision forest harvesting. Precision forest harvesting can be a very powerful tool; however, it requires modern forest machinery, which is expensive. Given that most of the forest operators in the Mediterranean area are small-scale businesses, they do not have the resources to purchase costly equipment; thus, the application of precision forest harvesting is affected. Bearing this in mind, in this study, we aimed to test the accuracy of the GNSS receiver on which an innovative Information and Communication Technology (ICT) system developed to monitor small-scale forest operations is based. We tested the GNSS’s accuracy by comparing the extraction routes recorded during coppicing interventions in two forest sites located in Central Italy with those obtained with a more high-performing GNSS receiver. We also used linear mixed-effects models (LMMs) to investigate the effects on the GNSS positioning error of topographic features, such as the slope, elevation, aspect and Topographic Position Index (TPI). We found that the average positioning error was about 2 m, with a maximum error of about 5 m. The LMMs showed that the investigated topographic features did not significantly affect the positioning error and that the GNSS accuracy was strongly related to the specific study area that we used as a random effect in the model (marginal coefficient of determination was about 0.13 and conditional coefficient of determination grew to about 0.59). As a consequence of the negligible canopy cover after coppicing, the tested GNSS receiver achieved satisfactory results. It could therefore be used as a visualising tool for a pre-planned extraction route network, allowing the operator to follow it on the GNSS receiver screen. However, these results are preliminary and should be further tested in more experimental sites and various operational conditions.

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“…Precision forestry is rapidly evolving as a result of the continuous advancement of modern measurement and control technology [1]. In precision forestry, the monitoring of harvesting operations using smart technologies is referred to as precision forestry harvesting [2]. Harvesters are key machines for forest harvesting operations, and their operational efficiency, environmental impact, and operational safety affect the economic sustainability, environmental sustainability, and social sustainability of forest harvesting operations [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…In precision forestry, the monitoring of harvesting operations using smart technologies is referred to as precision forestry harvesting [2]. Harvesters are key machines for forest harvesting operations, and their operational efficiency, environmental impact, and operational safety affect the economic sustainability, environmental sustainability, and social sustainability of forest harvesting operations [1][2][3][4]. Therefore, it is necessary to utilize advanced electronic systems and measurement and control instruments to monitor harvester operations and obtain reliable data on harvester operations.…”

Section: Introductionmentioning

confidence: 99%

A Hydraulic Online Monitoring System for Forestry Harvesters Based on LabVIEW

Qin,

Xu,

Wang

et al. 2023

Forests

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The hydraulic system is a key component of intelligent forestry harvesters. In the testing of a forestry harvester, researchers need to analyze the operating efficiency and energy consumption of the forestry harvester based on the pressure and flow rate data in the hydraulic system of the forestry harvester and formulate energy-efficient control strategies. In order to enable researchers to monitor and extract the parameters of the hydraulic system of an intelligent forestry harvester in real time, this paper designs a hydraulic online monitoring system for forestry harvesters based on the LabVIEW 2019 software platform. This system realizes the following functions by reading the CAN (controller area network, a serial communication protocol for multi-host localized networks) bus of the harvester: (1) it collects and stores hydraulic system pressure, flow, and other data and displays the value curve in the system interface in real time, and (2) it monitors the control signals received by the hydraulic system and displays the control signal status and value received by the system interface in real time. This paper used this system to carry out on-site testing of an actual machine, and compared and analyzed the online monitoring data of the hydraulic system and the theoretical pressure data of the main hydraulic valve manifold. The average value of the relative error between the two was 1.65%, and the maximum value of the relative error was 2.75%. The results show that the designed system has good accuracy and stability, and can effectively realize online monitoring of the working status of the hydraulic system of forestry harvesters during their operation.

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Recent Applications of Smart Technologies for Monitoring the Sustainability of Forest Operations

Cited by 9 publications

References 108 publications

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Evaluating an Innovative ICT System for Monitoring Small-Scale Forest Operations: Preliminary Tests in Mediterranean Oak Coppices

A Hydraulic Online Monitoring System for Forestry Harvesters Based on LabVIEW

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