Single Harvest Research Articles

Blueberry Harvest Mechanisms

Blueberry (Vacciniumcorymbosum L.) is a perennial plant that shed leaves in winter. It is from Ericaceae family and it is in the form of bushes. It grows in temperate climates and its motherland is America. It spread from American culture 110 years ago. It can grow in lightly textured and acidic soil. For this reason, the areas where agriculture can be done are limited. Because the production quantities are not enough, the selling prices are also high (Çelik H., 2008). Grape berries can be harvested by hand and machine. For the Blueberry harvest, harvesters with three different types of harvesting mechanisms were produced. The first blueberry harvester was manufactured in 1956, adapted from a mechanical cranberry picker. This machine had a mechanism consisting of a six-row scraper stick (Farooque A., 2014). These machines with high collection capacity reduce the need for labor and the cost of harvest. Blueberry manual harvesting hectare requires 1300 h of labor, while single row harvesting machine requires 25 h of labor/hectare. Thus, the cost of harvest falls from $ 2.8 per kg to $ 0.26 per kg (Takeda F. et.al., 2017). These machines are not economical for medium and small sized farms. In machine harvest, there are some problems for this plant. These problems are fruit falling on the ground during fruit harvest, the harvest of fruit that has not reached sufficient maturity, fruit and plant damage during picking. A lot of work has been done and continues to be done. However, sufficient harvesting efficiency has not yet been achieved. Blueberry should be harvested with a high quality and long shelf life that will appeal to the consumer.

Flexible Thermoelectric and Piezoelectric Hybrid Energy harvester by Adopting a Multifunctional Cellulose-based Composite Film

Thermoelectric (TE) and piezoelectric (PE) energy harvesting are the most advantageous conversion mechanisms for converting energy generated by the human body into electrical energy, respectively. However, the development of a hybrid energy harvester is essential for achieving high energy conversion efficiency since a single energy harvester cannot convert enough energy. Herein, we present a flexible TE-PE hybrid energy harvester (f-TPHEH) based on a self-assembled single film consisting of Bi2Te2.7Sn0.3 particles, BaTiO3 nanoparticles, and cellulose. The fabricated f-TPHEH exhibited a maximum TE output power of 18.47 nW and a PE instantaneous output of 13.5 nW under integrated thermal and bending conditions (ΔT = 40 K, bending displacement = 7 mm). We conducted a theoretical analysis using multiphysics simulation based on finite element analysis to support the experimental measurements of the fabricated f-TPHEH. In addition, to demonstrate the mechanical stability of the cellulose matrix-based f-TPHEH, a durability test was performed up to 5,000 cycles of bending deformation. This study presents a method for developing the flexible hybrid energy harvester using a low-cost and simple fabrication process.

Potential of coupled array harvester in enhanced energy harvesting.

Harvesting energy from nonlinear systems has been at the centre of research in the energy harvesting community. Many such proposed systems are single nonlinear harvester. While these systems show an increase in bandwidth of harvesting frequency, overall, they are not effective enough in power generation. This article studies power harvesting and frequency bandwidth characteristics of an array of harvesters. Multiple harvesters are considered with linear and nonlinear coupling between the harvesters. The phenomena of internal resonance (IR) and stochastic resonance (SR) are reported. The IR in multiple coupled nonlinear harvesters is explored using multiple-scale analysis. A parametric study is conducted to demonstrate the effect of coupling strength, frequency mistuning, innate nonlinearity and other parameters. The parametric study helped establish effective ways to increase bandwidth. Moreover, a stochastically loaded linearly coupled bistable harvester array is numerically analysed to find the effect of coupling strength and array size on the phenomenon of SR and on the system's harvesting performance. Through these studies, the potential of multiple coupled nonlinear harvesters in enhanced energy harvesting is demonstrated under both harmonic and stochastic excitation.This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.

Multi-Regression Modeling of Harvest Income in Smallholder Long Coriander Production: Insights from Battambang, Cambodia

The target of this study is to promote Long Coriander production; the most widely recognized leafy vegetable in Southeast Asia and Cambodia. As a substitute for regular coriander, it is valued for its taste and health benefits. The market price for Long Coriander seeds typically goes up and down depending on the season, similar to other fluctuations observed in other agricultural products. In an effort to fulfill the study's expectations, researchers intend to identify the key factors affecting the profitability of Long Coriander production for smallholders in Battambang, Cambodia. Using multi-regression models, the analysis will determine the statistical significance of specific cost categories and their influence on incomes from both single and annual harvests of Long Coriander. Two regression analyses will be applied: ordinary least squares (OLS) and stepwise regression. Understanding the factors influencing Long Coriander harvest income is crucial for developing targeted strategies to improve the livelihoods of rural producers. With the knowledge gained from this study, smallholders will be able to make strategies that will maximize profitability and maintain the long-term sustainability of Long Coriander production within the context of agriculture. Additionally, the study also defines variables that can be controlled by producers, besides the variables that have a significant effect by chance.

Dumbbell-shaped piezoelectric energy harvesting from coupled vibrations

This paper presents a novel dumbbell-shaped piezoelectric energy harvesting from vortex-induced vibration (VIV) and galloping. The designed harvester system leverages the coupled vibrations to improve the output performance. The conceptual design of the dumbbell-shaped harvester system is first developed, the theoretical model of the harvester is then established, three-dimensional simulation analyses are conducted, and the prototypes of the harvester that combines a cylinder and a cuboid are finally manufactured. The effect of the cylinder lengths and airflow velocity on the harvesting characteristics is explored. The results demonstrate the derived mathematical model is fully verified through experimental method. VIV occurs in the 0.5D and 1D dumbbell-shaped harvester systems at lower airflow velocities, while galloping takes place at higher velocities, both of which contribute to increase the output performance. In contrast, the 1D - 3D dumbbell-shaped harvesters demonstrate a VIV behavior only and suppress vibration. The maximum voltage generated by the 0.5D harvester is 12.03 V at 4.29 m s-1, which is 11.18 % higher than that of a single cuboid harvester. The vorticity fields illustrate the vortex shedding mode and intensity, as well as reveal the underlying influence mechanism.

Nutritional Quality Analysis and Classification Detection of Buckwheat in Different Harvest Periods.

For buckwheat, the optimal harvest period is difficult to determine-too early or too late a harvest affects the nutritional quality of buckwheat. In this paper, physical and chemical tests are combined with a method using near-infrared spectroscopy nondestructive testing technology to study buckwheat harvest and determine the optimal harvest period. Physical and chemical tests to determine the growth cycle were performed at 83 days, 90 days, 93 days, 96 days, 99 days, and 102 days, in which the buckwheat grain starch, fat, protein, total flavonoid, and total phenol contents were assessed. Spectral images of buckwheat in six different harvest periods were collected using a near-infrared spectral imaging system. Four preprocessing methods (SNV, S-G, DWT, and the normaliz function) and three dimensionality reduction algorithms (IVSO, VCPA, VISSA) were used to process the raw buckwheat spectral data, and the full and eigen spectra were established as a random forest (RF). Random forest (RF) and Least Squares Support Vector Machine (LS-SVM) classification models were used to determine the full and eigen spectra, respectively, and the optimal model for the buckwheat single harvest period was determined and validated. Through physical and chemical tests, it was concluded that the 90-day harvest buckwheat grain protein, fat, and starch contents were the highest, and that the total flavonoid and total phenolic contents were also high. The SNV preprocessing method was the most effective, and the feature bands extracted using the IVSO algorithm were more representative. The IVSO-RF model was the best discriminative model for the classification of buckwheat in different harvest periods, with the correct rates of the training and prediction sets reaching 100% and 96.67%, respectively. When applying the IVSO-RF model to the buckwheat single harvest period to verify the classification, the correct rate of the training set for each harvest period reached 96%, and that of the prediction set reached 100%. Near-infrared spectroscopy combined with the IVSO-RF modeling method for buckwheat harvest period detection is a rapid, nondestructive classification method. When this was combined with physical and chemical analyses, it was determined that a growth cycle of 90 days is the best harvest period for buckwheat. The results of this study can not only improve the quality of buckwheat crops but also be applied to other crops to determine their optimal harvest period.

Role of inertial nonlinearity and coupling stiffness on a series of coupled harvesters

This study investigates the effect of coupling configuration on a state-of-the-art harvesting system consisting of a series of spring-coupled piezoelectric nonlinear monostable tip-loaded cantilever-based vibration energy harvesters (VEHs). The investigation finds favorable coupling configurations that exploit complex nonlinear interaction for improving system performance. The system model incorporates the beam's geometric nonlinearities in the governing equation using inertial and stiffness nonlinear terms. The study first analytically investigates the effect of grounding stiffness on a single harvester's performance. Then, it numerically investigates the effect of increasing array size and changing stiffness distribution. The study discovers a novel hardening/softening transition phenomenon at a critical grounding stiffness value induced by the inertial nonlinear effect. This critical event also maximizes peak output power near the largest eigenfrequency at an optimum grounding stiffness value. At larger arrays, the peak power shows a complex bifurcation behavior, hinting at the presence of multiple attractors. The numerical study of different stiffness configurations and linearized eigenanalysis reveals the necessity of a multilevel optimization strategy focused on both the stiffness ratio between the coupling springs' and their overall stiffness level. This study bridges the gap between previous studies on spring-coupled linear and bistable arrays, offering new insights into coupled nonlinear interactions and proposing novel optimization strategies.

Productive Characteristics, Nesting Substrates, and Colonies of the Escamolera Ant (Liometopum apiculatum M.) in Zacatecas, Mexico

Objective: The objective of this study was to connect measurements, weights, and production of escamoles with nesting substrates, foraging paths, nest types, and colony sizes of the escamolera ant. Design/Methodology/Approach: The data about nests, colonies, and larvae were gathered during morning and evening field walks, with the support of escamoles harvesters. The basic statistics of the data were estimated (N = 59 nests/colonies) and analyzed with the Kruskal-Wallis H test. In addition, the Mann-Whitney U test was used to determine the differences per nest type. Results: The highest production of escamoles was recorded in the Prosopis laevigata substrate (x=551.08 g/N=1), while the lowest production was recorded in the Echinocereus stramineus substrate (x=228.31 g/N=4). The length and width of the larvae (N=1,100 larvae) were similar in all the substrates. The weight of the larvae varied from 0.09 g, in the Prosopis levigata substrate, to 0.16 g, in the dry palm (Yucca spp.) substrate; therefore, 11,111 and 6,250 larvae are required, respectively, to obtain 1 kg of escamoles. Study Limitations/Implications: The information of this study is limited to a single harvesting region. Findings/Conclusions: The low escamoles production indicates that its harvesting must comply with a regulatory framework and a better organization, in order to guarantee the continuous presence of Liometopum apiculatum colonies.

Convolutional Neural Network-Based Estimation of Nitrogen Content in Regenerating Rice Leaves

Regenerated rice, characterized by single planting and double harvesting, saves labor and costs, significantly contributing to global food security. Hyperspectral imaging technology, which integrates image and spectral data, provides comprehensive, non-destructive, and pollution-free vegetation canopy analysis, making it highly effective for crop nutrient diagnosis. In this study, we selected two varieties of regenerated rice for field trials. Hyperspectral images were captured during key growth stages (flush, grouting, and ripening) of both the first and regenerated seasons. Utilizing a two-dimensional convolutional neural network (2D-CNN) as a deep feature extractor and a fully connected layer for nitrogen content prediction, we developed a robust model suitable for estimating nitrogen content in regenerated rice. The experimental results demonstrate that our method achieves a mean squared error (MSE) of 0.0008, significantly outperforming the back-propagation (BP) network and multiple linear regression by reducing the MSE by 0.0151 and 0.0247, respectively. It also surpasses the one-dimensional convolutional neural network (1D-CNN) by 0.003. This approach ensures accurate nitrogen content prediction throughout the growth cycle of regenerated rice, aiding in yield and economic benefit enhancement.

Evaluation of Growth and Energy Parameters of One-Year-Old Raspberry Shoots, Depending on the Variety

The article examines the influence of six varieties of primocane raspberries, Rubus idaeus L., on the growth parameters and energy properties of the biomass. The unique aim of this study was to show the impact of primocane raspberry varieties, grown for a single harvest, on the growth parameters of the bushes and the energy and emission characteristics of the biomass obtained from the pruned canes. To the best of our knowledge, there is no such analysis connected to varieties of raspberries available in the literature. The following primocane raspberries were assessed: Polana, Polesie, Delniwa, Poemat, Polonez, and Poranek. Among the studied raspberry varieties, Polana was characterized by the highest number of side shoots and the greatest sum of the shoot lengths, while the Polonez variety was characterized by the highest average shoot length and shoot thickness. In the tested raspberry varieties, the weight of the shoots per hectare varied significantly, ranging from 6.06 t in the Poranek variety to 9.05 t in the Delniwa variety. It was shown that the raspberry variety had a significant impact on the higher heating value (HHV) and the lower heating value (LHV). The lowest energy value was found in the Delniwa (HHV—17.32 MJ·kg−1; LHV—16.07 MJ·kg−1) and Polana (HHV—17.33 MJ·kg−1, LHV—16.19 MJ·kg−1) varieties, and the significantly highest value was observed in the Poranek variety (HHV—17.63 MJ·kg−1, LHV—16.39 MJ·kg−1). The assessment of the total volume of exhaust gases showed the highest value of this parameter for the Polesie and Delniwa varieties (6.89 m3·kg−1), with the lowest for the Polana variety (6.69 m3·kg−1).

A hybrid energy harvesting approach for transmission lines based on triboelectric nanogenerator and micro thermoelectric generator

To effectively detect faults in transmission lines, monitoring the operating status of these lines is imperative. However, providing power to monitoring devices for transmission line status presents a significant challenge. In this research, a hybrid energy harvesting approach based on micro thermoelectric generator (MTEG) and triboelectric nanogenerator (TENG) is proposed, and a theoretical model for MTEG-TENG hybrid energy harvesting is established. This study develops an integrated energy harvesting prototype, which incorporates oscillating-TENG (O-TENGs), MTEGs, and a power management control unit. This prototype not only harvests energy from the vibrations of transmission lines but also converts the lines thermal energy into electricity. The Experiment results show that the maximum open-circuit voltages of O-TENG and MTEG reach 80.3 V and 1.094 V, respectively. Compared to a single MTEG energy harvesting device, the prototype of the MTEG-TENG hybrid energy harvesting device demonstrates a 5.36% improvement in energy harvesting and battery charging performance. Consequently, this approach achieves self-powered monitoring with excellent stability and lower manufacturing costs. It provides an efficient and durable power approach for transmission line status monitoring devices.

Nonlinear dynamic analysis of a spring coupled double beam based piezoelectric energy harvester under parametric base excitation

This paper proposes a base excited, spring coupled double cantilever beam with attached tip mass based piezoelectric energy harvester. The dimensions of the beams are so chosen that the system experiences 1:1 internal resonance. The governing coupled electro-mechanical equations of motion of the system are obtained by using the Lagrange principle which is reduced to the temporal form by using generalized Galerkin’s method. The governing temporal equations of motion are in the form of that of a parametrically excited coupled system with geometric and inertial nonlinearities. These nonlinear equations are solved using the method of multiple scales and the results are compared with those solved by numerical method (4th order Runge Kutta method) for principal parametric resonance conditions. Parametric studies are conducted by varying the tip masses of the beams, coupled spring stiffness, load resistance, external excitation frequency and excitation amplitude. Results show that by introducing spring coupling, the system operational frequency range increases significantly and also energy transfer process takes place due to the internal resonance. Significant enhancement of voltage and power are observed in the present work in comparison to the earlier studied equivalent single beam-based energy harvester.

Multi-piezoelectric energy harvesters array based on wind-induced vibration: Design, simulation, and experimental evaluation

The efficiency of a single piezoelectric energy harvester (PEH) is inadequate to meet the energy requirements of equipment, requiring the simultaneous operation of multiple PEHs. Consequently, this work conducts research on multi-piezoelectric energy harvesters (MPEH) array based on wind-induced vibration. Analyze the output characteristics of array configurations using simulation and experimental methods, including dual parallel array (PEH-2p), dual series array (PEH-2s), four-square array (PEH-4), and nine-square array (PEH-9) energy harvesters. The results indicate that the spacing ratio (L/D) is the primary factor influencing the output performance of the PEH array. Both of the starting and peak wind speeds of PEH-2p were below the reference value, but the power peak has increased. The starting wind speed of PEH-2s has been reduced, with a more significant improvement in the output performance of the downstream energy harvester compared to the upstream energy harvester. The output power of the downstream energy harvester has increased by 323.35 % in comparison to the reference value. Additionally, the PEH-4 demonstrates a boosting effect on the output power of both the upstream and downstream energy harvesters. The energy harvester in the center of the PEH-9 has the highest power peak, being 349.44 % higher than the reference value.

A RANDOMIZED CONTROLLED TRIAL INVESTIGATING FUNCTIONAL RECOVERY AFTER ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION USING A SINGLE VERSUS DOUBLE TENDON HARVEST

INTRODUCTION & AIMS Anterior cruciate ligament (ACL) tears are common. While surgical reconstruction (ACLR) is commonly advocated and a hamstring autograft is the popular choice, hamstring tendon harvest has been linked to reduced hamstring strength and ongoing donor site pain. While traditional surgical techniques required a harvest of both semitendinosus/gracilis tendons, modern harvesting and fixation methods permit a shorter, broader harvest of semitendinosus only. This study investigated donor site pain, strength and functional recovery in patients undergoing ACLR via a single (ST) versus dual (DT) tendon hamstring harvest. METHODS This prospective randomized controlled trial (RCT) allocated 138 patients to ACLR with one of the two hamstring tendon graft options (ST=71, DT=67) followed by a structured rehabilitation program. Patients were assessed pre-surgery and at 3, 6, and 12 months, with a range of patient-reported outcome measures (PROMs) including a validated donor-site morbidity score. Graft laxity, peak isokinetic knee extensor and flexor strength and a 6-hop performance battery were assessed. Limb Symmetry Indices (LSIs) were calculated. RESULTS All PROMs significantly improved (p<0.0001) and were largely similar between groups (p>0.05), apart from significantly less graft morbidity reported in the ST group (p=0.001). No group differences were observed for knee laxity or LSIs for hop measures (p>0.05), nor the LSIs for peak knee flexor (p=0.113) or extensor (p=0.286) torque. CONCLUSION While the ST ACLR group reported significantly less harvest site morbidity, no other subjective or functional differences were observed in patients undergoing ACLR with either a single or dual hamstring tendon autograft harvest.

Energy and dynamics analysis of a single plucking energy harvester for transient-motion-powered IoT applications

This study focuses on a piezo-magneto-elastic structure comprising an economical piezoelectric cantilever and a magnet pair. It is designed for efficient mechanical energy harvesting to power a battery-free motion-sensing IoT system through plucking motions. We conduct a thorough analysis and parametric study to elucidate the energy and dynamic intricacies during operation, specifically under a single plucking excitation. Beginning with a magnetic dipole–dipole model, we present a potential energy profile to intuitively elucidate and quantitatively assess the energy progression throughout a single plucking transient. By meticulously adjusting the setup parameters, the input potential energy can be precisely tuned, ensuring that the energy harvested from a single plucking motion meets the demand of each round of wireless communication. Diverging from previous power-centric investigations of plucking energy harvesters, in which continuous plucking motions are investigated, our approach provides a new perspective on the energy-centric design and transient dynamics of a single plucking motion. The importance of the energy-matching concept considering the subsequent energy-driven electronic modules is emphasized. This insight offers valuable design principles for the effective energy-centric co-design of cyber-electromechanically coupled self-powered IoT systems.

Faktor-Faktor yang Memengaruhi Produksi Manggis (Garcinia Mangostana) Di Desa Puspahiang Kecamatan Puspahiang Kabupaten Tasikmalaya

Mangosteen is one of the prospective horticultural commodities in Indonesia. It is a perennial plant with a lifespan of several decades. On average, mangosteen trees in Indonesia can produce 30-70 kg of fruit per tree in a single harvest per year, which is lower compared to Malaysia, Thailand, and India where yields can reach 200-300 kg of fruit per tree. The primary mangosteen production centers in Indonesia are located in West Java Province, specifically in Tasikmalaya, Subang, and Sukabumi. This research was conducted to identify the factors influencing mangosteen production. The research methodology employed a survey approach, collecting primary data directly from respondents (mangosteen farmers) and secondary data obtained from the Tasikmalaya District Central Statistics Agency. The study was conducted in Puspahiang Village, Puspahiang District, Tasikmalaya Regency, and simple random sampling was used for sample selection. The impact of production factors was analyzed using the Cobb-Douglas production function equation model. To assess the simultaneous effect, an F-test was conducted, and for the partial effects, a t-test was employed. The research findings indicate that variables such as land area, number of trees, organic fertilizers, labor force, and tree age collectively influence mangosteen production. Additionally, when examined individually, land area, number of trees, organic fertilizers, labor force, and tree age each have a significant impact on mangosteen production. The scale of production results suggests that a 1 percent increase in input will lead to a 2.216 percent increase in mangosteen production, indicating an increasing return scale.

Evaluating rotations of winter annual and summer annual forages for yield, nutritional value, and economic sustainability as forage resources for beef cattle in northern Iowa

A winter annual- summer annual forage rotation can be used to break up the traditional corn - soybean rotation and produce 7-11 tons per acre of forage biomass on a dry matter basis per year. Dry conditions in the fall of 2020 and again in the fall of 2002 through 2023, limited germination and early growth. Moisture in the spring of 2021 reinvigorated growth, but the drought in the spring of 2023 prevented germination of the summer annual so only a single harvest was taken on September 5, 2023. The 47-year average rainfall for the farm for April – November is 30.8 inches but from April – November 2023 there was only 13.8 inches of rainfall significantly reducing summer annual yields. The variation between years indicates a double cropping system is very dependent on adequate rainfall for forage establishment and growth, as seen by the loss of the August harvest in 2023 where only half the average rainfall was received compared to 2021 and 2022.  

Verification of the age of 10- and 20-year-old Tawny Port wines using Radiocarbon

Port is a famous sort of fortified wine, exclusively produced in the Douro region of Portugal. Among the various types of Port wines, the Tawny types with stated maturation ages of 10 or 20 years are among the higher quality and more expensive ones. Fraudulently producing those with a shorter maturation time than claimed, along with additions or treatments to mask this, would make production of those wines cheaper. Here, we present a method, based on Radiocarbon (14C) age determination of the ethanol and the sugar residue, to verify the maturation time of such Port wines. We successfully verified the method using single harvest year “Vintage” Port wines. We then analyzed a total of twenty 10- and 20-year-old Tawny Port wines, bought at various retail stores in the Netherlands. We found that seven of those had a significantly shorter maturation age than claimed on the label.

Population demographics and angler exploitation of Suwannee Bass in two Georgia rivers

AbstractObjectiveSuwannee Bass Micropterus notius are a unique black bass that are endemic to riverine systems in Georgia and Florida, USA. Despite their “near threatened” status by the International Union for Conservation of Nature's Red List, Suwannee Bass are a popular sport fish that can be harvested throughout their range under a single harvest regulation with all black basses (genus Micropterus). However, a single harvest regulation may have disproportion effects on Suwannee Bass because of their rarity, limited distribution, and sex‐specific growth patterns.MethodsBoat electrofishing was used to collect Suwannee Bass and Largemouth Bass M. nigricans from both the Withlacoochee and Ochlockonee rivers to assess population demographics and angler exploitation. Common fisheries assessment metrics were calculated and annual exploitation rate was estimated from high reward (US$100) tags under simulated variability in tag loss and angler reporting rates.ResultWe observed different relative abundance and size structure among river systems. Electrofishing catch per unit effort of Suwannee Bass was higher in the Withlacoochee River (6.89 fish/h) than the Ochlockonee River (2.01 fish/h). Length‐frequency histograms suggested a wide breadth of lengths and presumed ages except for a lack of stock size Suwannee Bass in the Ochlockonee River. Eight percent of monetary reward tags were returned from anglers, yielding an overall exploitation estimate of 3.2%.ConclusionAnnual angler exploitation rates of Suwannee Bass and Largemouth Bass were low (<9.1%) in the Withlacoochee and Ochlockonee rivers of Georgia. Low exploitation coupled with a wide breadth of lengths and ages suggest these populations are currently not at risk of overexploitation.

Theoretical and experimental study of a bi-stable piezoelectric energy harvester under hybrid galloping and band-limited random excitations

In the practical environment, it is very common for the simultaneous occurrence of base excitation and crosswind. Scavenging the combined energy of vibration and wind with a single energy harvesting structure is fascinating. For this purpose, the effects of the wind speed and random excitation level are investigated with the stochastic averaging method (SAM) based on the energy envelope. The results of the analytical prediction are verified with the Monte-Carlo method (MCM). The numerical simulation shows that the introduction of wind can reduce the critical excitation level for triggering an inter-well jump and make a bi-stable energy harvester (BEH) realize the performance enhancement for a weak base excitation. However, as the strength of the wind increases to a particular level, the influence of the random base excitation on the dynamic responses is weakened, and the system exhibits a periodic galloping response. A comparison between a BEH and a linear energy harvester (LEH) indicates that the BEH demonstrates inferior performance for high-speed wind. Relevant experiments are conducted to investigate the validity of the theoretical prediction and numerical simulation. The experimental findings also show that strong random excitation is favorable for the BEH in the range of low wind speeds. However, as the speed of the incoming wind is up to a particular level, the disadvantage of the BEH becomes clear and evident.