Large Production Research Articles

Signal Processing for Novel Noise Radar Based on de-chirp and Delay Matching

Modern radar technology requires high-quality signals and detection performance. However, traditional frequency-modulated continuous wave (FMCW) radar often has poor anti-jamming capabilities, and the high sampling rates associated with large time-bandwidth product signals can lead to increased system hardware costs and reduced data processing efficiency. This paper constructed a composite radar waveform based on noise frequency modulation (NFM) and linear frequency modulation (LFM) signals, enhancing the signal’s complexity and anti-jamming capability. Furthermore, a method for optimizing the processing of echo signals based on de-chirp and delay matching is proposed. The locally generated LFM signal is used to de-chirp the received echoes, resulting in a narrowband difference frequency noise signal. Subsequently, delay matching is performed in the fast time domain using the locally generated NFM signal according to the number of sampling points in the traversal processing period, allowing for the acquisition of target delay information. While reducing the analog-to-digital (A/D) sampling rate, the detection performance for wideband echo signals under high sampling rates is still maintained, with sidelobe levels and range resolution preserved. Accumulating this information in the slow time domain enables accurate target detection. The effectiveness of the proposed method is validated through simulation experiments.

LUT enabled low-complexity electrical dispersion pre-compensation scheme for IM-DD systems

Frequency selective fading caused by chromatic dispersion (CD) and direct detection is the primary impediment for IM-DD systems in achieving a large capacity-distance product. Gerchberg-Saxton (GS) based electrical dispersion pre-compensation (pre-EDC) schemes enhance IM-DD systems' robustness against chromatic dispersion (CD), but their high computational complexity limits practical implementation. In this Letter, a novel, to the best of our knowledge, low-complexity pre-EDC scheme enabled by the cluster-assisting look-up table (CLUT) technique is proposed to further reduce the computation complexity of the non-iterative FIR-based pre-EDC scheme, in which convolution operation is replaced by tables look-up and accumulation processing. And a key strategy is proposed to balance the number and the total size of the LUTs by establishing LUTs for each cluster center after clustering the tap weights. To validate the effectiveness of the proposed scheme, we experimentally demonstrate the transmission of 80 Gbit/s PAM-4 signals and 100 Gbit/s PAM-6 signals over 20 km standard single-mode fiber (SSMF). The experimental results show that the proposed scheme can eliminate the multiplication in convolution operations and reduce the addition times of 58.54% for PAM-4 and 51.22% for PAM-6 signals at the BER of 7% HD-FEC threshold without any penalty.

Process development and optimization of sustainable and integrated large scale ammonia production process using water electrolysis based green hydrogen: Investigating process, energy, economic & environmental perspectives

Ammonia is an important raw material for fertilizer production and significantly contributes globally to agricultural systems. The multi-objective optimization of a large-scale integrated ammonia production process using water electrolysis-based green hydrogen is carried out using the Hybrid Multi-Objective Differential Evolution-Distance Learning Scheme (Hybrid MODE-DLS) algorithm. Three optimization cases are solved with the objectives of ammonia production rate, total production cost, and total energy by considering nine decision variables, and multiple constraints. The maximum ammonia production (66.51 kmol/h) and minimum total production cost (105.07 $/yr × 105) are obtained in Case 1 whereas the minimum energy value (7863.45 kWh) is obtained in Case 2. The minimum heat credit value of 3057300.5 $/annum exists in Case 2 solutions whereas the maximum heat credit value of 7992076 $/annum is seen in Case 3. The ammonia production rate increased by 82.79% in Case 2 results compared to the base case results.

Estimating coffee crop parameters through multispectral imaging and machine learning algorithms

Abstract. Brazil plays a crucial role in the global economy due to its significant contribution to the agricultural sector, particularly in coffee production, where it stands out as the largest producer and exporter of processed coffee. Various disturbances can influence coffee plants, causing abnormalities that can hinder their successful growth. Parameters such as plant height and canopy diameter play an essential role in assessing the health and productivity of the plants, reflecting their growth, development, and ability to capture sunlight. Additionally, height is also related to the balanced distribution of nutrients and water, providing valuable information about overall performance and the capacity for healthy production. In this regard, the application of methodologies involving remote sensing and machine learning algorithms has shown promising results in the rapid and safe acquisition of information about agricultural systems. This study evaluates different machine learning algorithms, using radiometric values from multispectral images obtained by remote sensing platforms as input datasets for estimating plant height and canopy diameter in coffee cultivation. The best performance was observed for architectures that showed lower RMSE and RMSE% values. For the plant height parameter (m), the RGB sensor exhibited the best performance using the Random Tree algorithm, with an RMSE (0.27) and RMSE% (8.80). For the canopy diameter (m), the sensor showed the best performance using the Random Forest algorithm, with an RMSE (0.15) and RMSE% (8.16).

Pseudospin-polarized slow light waveguides with large delay-bandwidth product

Delay-bandwidth product (DBP) is a key metric in slow light waveguides, requiring a balance between a large group index and broad bandwidth—two parameters that often involve a trade-off. Here, we propose and demonstrate a slow light waveguide with large DBP using a pseudospin-polarized transverse electromagnetic mode. This waveguide features a folded edge configuration that supports a 200% relative bandwidth from quasistatic limit (zero frequency) and an arbitrarily large group index. Owing to the pseudospin-polarized design, the dense folding would not introduce backscattering and the associated group velocity dispersion (GVD). The resulting gapless linear dispersion and pulse transmission behavior in folded edge waveguide are observed in microwave experiments. Our scheme provides a way to overcome the trade-off between group index and working bandwidth in slow light waveguide, which has potential applications in broadband optical buffering, light-matter interaction enhancement, terahertz radiation source and time domain processing.

Precommercial Thinning but Not Commercial Thinning Increases the Merchantable and Large Sawlog Volume Production of Lodgepole Pine on Fair Sites

Abstract The effect of thinning on stand structure and volume production is well studied. However, the effect of combinations of precommercial (PCT) and commercial thinning (CT) on the production of different log grades and differential growth responses is less understood, although it is crucial for forest managers to choose an optimal management regime. Starting with actual operational field data from a lodgepole pine (Pinus contorta var.latifolia) PCT trial on fair quality sites (site index: 16–18 m at 50 years), we used an individual tree growth model to forecast development over the entire rotation. We found thinning changed the structure (density, quadratic mean diameter) of the stands but not the total volume production. However, in terms of merchantable volume and large sawlog volume, stands with only PCT provided the largest volume, more than either CT or a combination of PCT and CT, or the unthinned control. Moreover, our study findings also showed that, by doing only PCT, stands reached maximum merchantable or large sawlog mean annual increment earlier than other thinned or unthinned stands. This indicates that PCT might shorten the rotation length and contribute to an enhanced supply of timber. Study Implications: The effect of commercial thinning (CT) on stand structure and volume production is well studied. However, the effect of combinations of precommercial (PCT) and commercial thinning (CT) on the production of different log grades and differential growth responses is less studied, although it is crucial for forest managers to choose a management option. Starting with actual operational field data from a lodgepole pine (Pinus contorta var.latifolia) PCT trial in a fair-quality site (site index [SI]: 16–18), we used an individual tree growth model to develop the stands over the entire rotation. We found thinning changed the structure (density, quadratic mean diameter) of the stands but not the total volume production. However, in terms of merchantable volume and large sawlog volume, stands with only PCT provided the largest volume, more than either CT or a combination of PCT and CT, or the unthinned control. Moreover, our study findings also showed that, by doing only PCT, stands reached maximum merchantable or large sawlog MAI earlier than other thinned or unthinned stands. This indicates that PCT might shorten the rotation length and contribute to the continuous supply of timber production.

A Recursive Optimization Approach for Buffer Allocation in Large Production Lines

Buffer allocation is a critical issue in the design stage of manufacturing systems, as buffer capacities may have a great impact on system performance. In this paper, we consider the problem of minimizing the total buffer capacity of a flow line to achieve a desired production rate. A recursive optimization approach is proposed to solve the problem in large production lines. Instead of optimizing a long line directly, the proposed approach decomposes it into two sub-lines, optimizes them recursively, and combines their solutions to find the optimal buffer distribution of the original line. Two different recursive algorithms are developed and their performance is demonstrated by comparing them with a gradient search algorithm. The numerical results show that the recursive algorithms are almost as accurate as the gradient algorithm, but much more efficient, especially for large production lines.

ORGANIZATIONAL AND FINANCIAL ASPECTS OF DISTRIBUTION MANAGEMENT OF DIGITAL CONTENT

In today's crisis conditions caused by military, financial, economic, social, environmental political upheavals and threats, the role of innovative technologies in trade is growing significantly. First of all, this applies to digital distribution in the book trade. Compared to traditional forms of trade, it does not require extensive infrastructure, large production facilities, or numerous staff. This helps to reduce transaction costs, respond more quickly to changing market conditions and simplify access to international trading platforms. However, the further development of digital distribution requires constant monitoring and analysis of global trends, and implementation of the best domestic and foreign practices to ensure efficient management of trading operations.The purpose of the study is to formulate the main financial and organizational measures to improve the management of digital distribution and increase its efficiency. To achieve this goal, the following tasks were solved: based on scientific publications and statistical data, the author monitored the trends in the development of digital distribution and the e-book market in Ukraine and in the world; analyzed the rank and level of visits to the websites of leading online e-book and audiobook stores in Ukraine; identified external and internal factors that affect the efficiency of digital distribution, in particular, e-books and audiobooks in the current conditions of military aggression and other risks; developed a model for generating revenue for a digital distribution platform.Financial, economic and organizational measures to improve the company's distribution management of digital content are proposed. These include areas of customer incentives and rewards, improved communication with digital goods manufacturers, priority funding for projects to improve the platform interface and mobile application, improved accounting, reporting, operational and strategic planning, and the introduction of artificial intelligence.

Fabrication of a Portable Groundnut Decorticating Machine for Domestic Purpose

Groundnut is one of the important oil seed crops cultivated in India. India ranks first in groundnut area under cultivation and is the second largest producer in the world with 101 lakh tones with productivity of 1863 kg per hectare in 2021-22. Groundnut cultivation in India is done by small-scale farmersand is the predominant dryland crop. In the beginning, thepeanuts were separated from their shells by the workers and theoutput from this method was much less and could not satisfy themarket demand as it was a very time-consuming process. It is atime-consuming and tedious operation. Hence, a portablegroundnut decorticating machine is designed and fabricatedwhich is small in size, easy to carry anywhere, and very easy tooperate (at any time). This is more useful for domestic purposessuch as households, hotels, and restaurants. This paper describesabout the design and fabrication of various components of a hand-operated groundnut decorticator. Small farmers or businessmencan start businesses by investing less capital. The output is about40-42 kg/hour, shelling time taken 1.5 min/kg, and with a highcost-benefit ratio of 1:28.6. The machine is also lightweight andeasy to operate and maintain, the spare parts are also availablelocally. Maintenance is very easy, purchase cost is low, and highlyeconomical in use. No electric power or diesel or skill knowledge is required. The shelling operation can be done by women at any time by accommodating in the house itself. Small and marginalfarmers can use regular shelling for the sowing of groundnut. This is a convenient equipment and can be used at any time(during day time or night time) based on their convenience. Not much labor is required and one person can manage the decortication process it is cost effective also.

Critical machining parameters for large aircraft casing production considering the influence of clamping systems

AbstractIn recent years, there has been a notable initiation or acceleration in the production of new aeronautical engines. This surge is coupled with a global commitment to reducing emissions and mitigating noise generated by gas turbines used in aeronautical applications. A critical component in this context is the aeronautical casing. The manufacturing process is intricate and time-consuming, compounded by the complexity of the clamping system, which poses a significant challenge to productivity. This study undertakes a comprehensive analysis of the critical variables essential for the optimal manufacturing of a zero-defects large-scale casing. The examination encompasses design criteria, raw materials, constraints related to clamping systems and tooling, and process monitoring. Ultimately, the exploration extends to the examination of more sustainable manufacturing techniques. To facilitate this, a case study involving the fabrication of a life-size aeronautical casing is undertaken.

PRODUCTION AND EXPORT PERFORMANCE OF COIR PRODUCTS IN INDIA

The coir sector is an important agro-based industry in India that plays an important role in employment opportunities and economic development. India is the world's largest producer and exporter of coir and coir products, exporting coir and its products to more than a hundred countries. It is the by-product of coconut's outer shell, which is used to produce coir fiber, coir yarn, different mats, mating rugs, non-woven products, non-woven mats, coir geo-textiles, coir pith, garden articles, curled coir, needle felt, hand knotted netting, coir ply articles, coir braid, coir rope, coir tea leaf bags, coir brushes, lunch bags, office bags, chapels, pouches, and many more. It is a 100 percent natural and biodegradable product that helps to store water molecules in soil to improve its fertility. The aim of the study is to determine the trend in production of coir fiber and its products in India and to know the export performance of coir fiber and its products in India during the last ten years. According to the study release, there are good opportunities in the world market for the coir products. KEY WORDS: coir fiber, coir products, production, exports, value, countries etc.

Pengaruh Aplikasi Pupuk NPK Terhadap Pertumbuhan dan Produksi Tanaman Wortel (Daucus carota L.)

Indonesia is one of the tropical countries that has a variety of plants including vegetables and fruits. One that has the largest production is carrots (Daucus carota L.). Carrots are a type of shrub-shaped vegetable plant, which grows upright with a height of 30-100 cm or more. Carrots (Daucus carota L.) are a tuberous vegetable type plant that is usually reddish yellow or yellowish orange with a wood-like texture. The edible part of a carrot is the bulb or root. The plant stores food reserves in the bulb. The stem is short, has a taproot that changes its shape and function into a round and elongated tuber. The skin of carrot bulbs is thin and if eaten raw, it feels crunchy and slightly sweet. Here's a picture of a carrot plant. One way to increase the yield of carrot plants is by increasing soil productivity, using the addition of NPK fertilizer. This study used a factorial randomized group design (RAK). For accuracy in this study, it was repeated 3 times. namely: NPK fertilizer (N) with 3 levels, namely: N0 = Control, N1 = 15 g/plot, and N2 = 25 g/plot. From the ANOVA test results, the variance of treatments that have a significant effect is continued with the Duncan DMRT test at the 5% level. The results of the ANOVA test showed that the effect of NPK fertilizer treatment on plant height 21 hst and 28 hst, the number of leaves had no significant effect, but the observation of the diameter of the base of the tuber, the fresh weight of the plant per sample and the fresh weight of the plant per plot had a significant effect. Keywords: NPK fertilizer, NPK dosage, and carrot plants

Renewable Energy Investments, Support Schemes and the Dirty Option

ABSTRACTIn a real options framework, we analyze the behavior of a large energy producer who can invest in a portfolio of Renewable Energy Source (RES) and dirty energy source. Competitive fuel prices challenge the investments in RES. Given a budget constraint, the agent allocates the optimal capacities of both energy instalments and selects the optimal investment time. We use the model to compare the effectiveness of classical support schemes such as Feed‐in Tariffs or Green Certificate with respect to forms of taxation of dirty technology such as Carbon Taxes or Carbon Permits. This paper proposes a conceptual framework and qualitative analysis to understand which support system enhances the attractiveness of renewable energy investments.

Technosols Made from Iron Mine Tailings and Construction and Demolition Waste as an Alternative for Sustainable Solid Waste Management

ABSTRACTBrazil faces urgent environmental challenges due to large waste production from mining and construction activities particularly regarding the disposal and management of the solid waste generated by these activities. The extraction of iron ore and the storage of tailings in dams, most of which are at imminent risk of rupture, represent foretold environmental disasters. Additionally, the disposal of construction waste raises environmental concerns due to the decreasing vailability of inert landfill space. To address these challenges, we evaluated the potential of Technosols made from construction and demolition waste (CDW) and iron mining tailing (IMT) in different proportions (60:40, 70:30, 80:20, and 100% of IMT and CDW, respectively) to support grass development. The Technosols were compared to a natural soil (Haplic Ferralsol). The soils were cultivated with Urochloa brizantha cv. Marandu in a field experiment conducted for 120 days. At the end of experiment, soil samples were collected and analyzed their chemical, physical, and mineralogical attributes, while plants were analyzed for dry biomass. Plants cultivated in Technosols exhibited dry biomass production 3.3‐fold (825 ± 270 g) greater than those cultivated in the natural soil (251 ± 77 g). Higher biomass production in the Technosols, especially in the TEC70:30, was associated with the favorable chemical conditions of these soils, such as slightly neutral pH (~7.5), higher cation exchange capacity (68.1 ± 12.4 mmol dm−3) and nutrient availability, especially Ca and P (57.8 ± 0.8 and 28.2 ± 0.4 mmol dm−3, respectively). These results aim to provide insights for the effective use of different Technosols in mitigating environmental impacts and promoting sustainable land and waste management practices, primarily to prevent future environmental disasters.

Towards the design of a smart warehouse management system for spare parts management in the oil and gas sector

IntroductionThe oil and gas production industry requires rapid changing. As oil and gas companies around the world are called upon to decarbonize, several sectors within the industry are attempting to find new ways of working to achieve decarbonization. One of those sectors is spare parts warehousing. During the past decades of oil and gas production, spare parts warehousing has not been prioritized in optimization measures. Warehouses have been filled with material, all activities have been performed manually, and financial expenditure has been high. Now, a large oil and gas production company in Norway is looking to optimize its spare parts warehousing to streamline its logistics activities and increase sustainability.MethodThis study addresses the optimization ambitions of the company and proposes key design elements of a smart warehouse management system using Industry 4.0 technology implementation. The study is conducted by performing a review of relevant literature and company ambitions, before embarking on a qualitative design measure to contribute to the company’s innovative success.ResultsThe study proposes optimization of the warehouse activities goods receipt, issuing of stocked goods, and inventory count. Additionally, the digital supply chain of tomorrow and the technical architecture of a track and trace system in the warehouse is suggested.DiscussionThe study’s results can be used in practical implications and provide a foundation for future research. Future research is suggested to include extensive visual simulations, practical implementation studies, and studies on long-term effects of implementation.

2023: a soil odyssey–HeAted soiL-Monoliths (HAL-Ms) to examine the effect of heat emission from HVDC underground cables on plant growth

BackgroundThe use of renewable energy for sustainable and climate-neutral electricity production is increasing worldwide. High-voltage direct-current (HVDC) transmission via underground cables helps connect large production sides with consumer regions. In Germany, almost 5,000 km of new power line projects is planned, with an initial start date of 2038 or earlier. During transmission, heat is emitted to the surrounding soil, but the effects of the emitted heat on root growth and yield of the overlying crop plants remain uncertain and must be investigated.ResultsFor this purpose, we designed and constructed a low-cost large HeAted soiL-Monolith (HAL-M) model for simulating heat flow within soil with a natural composition and density. We could observe root growth, soil temperature and soil water content over an extended period. We performed a field trial-type experiment involving three-part crop rotation in a greenhouse. We showed that under the simulated conditions, heat emission could reduce the yield and root growth depending on the crop type and soil.ConclusionsThis experimental design could serve as a low-cost, fast and reliable standard for investigating thermal issues related to various soil compositions and types, precipitation regimes and crop plants affected by similar projects. Beyond our research question, the HAL-M technique could serve as a link between pot and field trials with the advantages of both approaches. This method could enrich many research areas with the aim of controlling natural soil and plant conditions.

Hindlimb kinematics, kinetics, and muscle dynamics during sit-to-stand and sit-to-walk transitions in emus (Dromaius novaehollandiae).

Terrestrial animals not only need to walk and run but also lie prone to rest and then stand up. Sit-to-stand (STS) and sit-to-walk (STW) transitions are vital behaviours little studied in species other than humans so far, but likely impose biomechanical constraints on limb design because they involve near-maximal excursions of limb joints that should require large length changes and force production from muscles. By integrating data from experiments into musculoskeletal simulations, we analysed joint motions, ground reaction forces, and muscle dynamics during STS and STW in a large terrestrial, bipedal, and cursorial bird: the emu (Dromaius novaehollandiae, ∼30 kg). Simulation results suggest that in both STS and STW, emus operate near the functional limits (∼50 % of shortening/lengthening) of some of their hindlimb muscles, particularly in distal muscles with limited capacity for length change and leverage. Both movements involved high muscle activations (> 50 %) and force generation of the major joint extensor muscles early in the transition. STW required larger net joint moments and non-sagittal motions than STS, entailing greater demands for muscle capacity. Whilst our study involves multiple assumptions, our findings lay the groundwork for future studies to understand, for example, how tendon contributions may reduce excessive muscle demands, especially in the distal hindlimb. As the first investigation into how an avian species stands up, this study provides a foundational framework for future comparative studies investigating organismal morphofunctional specialisations and evolution, offering potential robotics and animal welfare applications.

Chromium oxide nanoparticles in‐situ immobilized onto nitrogen‐doped carbon plates with boosted catalytic activity toward nitrogen reduction reaction

AbstractA chromium oxide‐based nanocomposite (Cr2O3@NC) is designed and prepared via a simple pyrolysis route with Cr‐based metal organic framework (MOF) as a template. The research results indicate that Cr2O3 nanoparticles have an average size of ~70 nm and are in situ formed and imbedded onto the Cr‐based MOF‐derived 2D N‐doped carbon microplates. When employed as an inexpensive electrocatalyst for nitrogen reduction reaction (NRR) to synthesize ammonia, Cr2O3@NC demonstrates an improved and stable catalytic activity in comparison with bare Cr2O3. A large ammonia production rate of 29.42 μg mg−1cat h−1 under a lower potential of −0.4 V versus reversible hydrogen electrode (RHE) can be acquired with a Faradic efficiency of 9.89% in sodium sulphate solution. Additionally, a satisfactory selectivity can also be achieved without hydrazine byproduct. The greatly promoted catalytic activity of Cr2O3@NC is regarded to be concerned with its desirable structures such as 2D planar topological structure with expanded active surface area, abundant catalytic sites, and effective combination with conductive carbon.

The importance of financial controls for maximizing results for small rural entrepreneurs

Brazil's agricultural sector is crucial for the economy and global food security, encompassing about 41% of the country's total land area and housing over 5 million agricultural establishments. According to the Brazilian Confederation of Agriculture and Livestock (CNA), agribusiness contributed 23.8% to the Gross Domestic Product (GDP) in 2023, highlighting its diverse production of agricultural commodities. While technological advancements have boosted productivity, a significant gap exists between large and small producers. Large producers often benefit from technological progress, whereas small producers—a significant portion of family farming—face substantial challenges. Family farming accounts for 67% of agricultural activity and 80% of global food production, yet it struggles with financial management, lack of knowledge, and limited access to credit and technology. Efficient rural management is essential for optimizing resources, reducing costs, and enhancing productivity on small farms. Implementing financial management practices, such as budgeting, cost analysis, and cash flow control, can help small producers make better use of their resources and lower expenses. Public policies like the National Program for the Strengthening of Family Farming (PRONAF) and the Food Acquisition Program (PAA) aim to support these producers by providing financing and securing markets for their products. Family farming holds significant potential for sustainable practices. With the right support, it can continue to play a vital role in the Brazilian economy and global food security, fostering a sustainable and prosperous future for the agricultural sector.

Investigating the Role of Cover-Crop Spectra for Vineyard Monitoring from Airborne and Spaceborne Remote Sensing

The monitoring of grape quality parameters within viticulture using airborne remote sensing is an increasingly important aspect of precision viticulture. Airborne remote sensing allows high volumes of spatial consistent data to be collected with improved efficiency over ground-based surveys. Spectral data can be used to understand the characteristics of vineyards, including the characteristics and health of the vines. Within viticultural remote sensing, the use of cover-crop spectra for monitoring is often overlooked due to the perceived noise it generates within imagery. However, within viticulture, the cover crop is a widely used and important management tool. This study uses multispectral data acquired by a high-resolution uncrewed aerial vehicle (UAV) and Sentinel-2 MSI to explore the benefit that cover-crop pixels could have for grape yield and quality monitoring. This study was undertaken across three growing seasons in the southeast of England, at a large commercial wine producer. The site was split into a number of vineyards, with sub-blocks for different vine varieties and rootstocks. Pre-harvest multispectral UAV imagery was collected across three vineyard parcels. UAV imagery was radiometrically corrected and stitched to create orthomosaics (red, green, and near-infrared) for each vineyard and survey date. Orthomosaics were segmented into pure cover-cropuav and pure vineuav pixels, removing the impact that mixed pixels could have upon analysis, with three vegetation indices (VIs) constructed from the segmented imagery. Sentinel-2 Level 2a bottom of atmosphere scenes were also acquired as close to UAV surveys as possible. In parallel, the yield and quality surveys were undertaken one to two weeks prior to harvest. Laboratory refractometry was performed to determine the grape total acid, total soluble solids, alpha amino acids, and berry weight. Extreme gradient boosting (XGBoost v2.1.1) was used to determine the ability of remote sensing data to predict the grape yield and quality parameters. Results suggested that pure cover-cropuav was a successful predictor of grape yield and quality parameters (range of R2 = 0.37–0.45), with model evaluation results comparable to pure vineuav and Sentinel-2 models. The analysis also showed that, whilst the structural similarity between the both UAV and Sentinel-2 data was high, the cover crop is the most influential spectral component within the Sentinel-2 data. This research presents novel evidence for the ability of cover-cropuav to predict grape yield and quality. Moreover, this finding then provides a mechanism which explains the success of the Sentinel-2 modelling of grape yield and quality. For growers and wine producers, creating grape yield and quality prediction models through moderate-resolution satellite imagery would be a significant innovation. Proving more cost-effective than UAV monitoring for large vineyards, such methodologies could also act to bring substantial cost savings to vineyard management.