Particulate matter emission factors using low-dust harvesters for almond nut-picking operations

Baticados, El Jirie N.; Capareda, Sergio C.; Maglinao, Amado L.

doi:10.1080/10962247.2019.1655500

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…Such processes are shown in Figure 4. Currently, there are three major problems with this procedure: (1) The large amount of dust generated during the sweeping and picking up spreads away in the air, causing pollution and impacts human health (Baticados et al., 2019); (2) The almonds directly contact the soil for long periods of time during natural drying, which introduces a pathway for severe insect damage and contamination by pathogenic microbials (Gradziel et al., 2000, 2020; Wang et al., 2013; Yu et al., 2018); (3) There is no technology available for monitoring and detecting insects during stockpiling and storage, which results in a significant product loss due to insect damage or a large amount of chemicals use from frequent fumigation. In Europe, almonds mainly grow in Spain, and are harvested off‐ground and de‐hulled in‐field.…”

Section: Conventional Harvest and Postharvest Processing Methodsmentioning

confidence: 99%

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Postharvest processing of tree nuts: Current status and future prospects—A comprehensive review

Chen

Pan

2022

Comp Rev Food Sci Food Safe

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Tree nuts are important economic crops and are consumed as healthy snacks worldwide. In recent years, the increasing needs for more efficient and effective postharvest processing technologies have been driven by the growing production, higher quality standards, stricter food safety requirements, development of new harvesting methods, and demand to achieve energy saving and carbon neutralization. Among all, the technologies related to drying, disinfection, and disinfestation and downstream processes, such as blanching, kernel peeling, and roasting, are the most important processes influencing the quality and safety of the products. These processes make up the largest contribution to the energy consumptions and environmental impacts stemming from tree nut production. Although many studies have been conducted to improve the processing efficiency and sustainability, and preserve the product quality and safety, information from these studies is fragmented and a centralized review highlighting the important technology advancements of postharvest processing of tree nuts would benefit the industry. In this comprehensive review, almonds, walnuts, and pistachios are selected as the representative crops of tree nuts. Current statuses, recent advances, and ongoing challenges in the scientific research as well as in the industrial processing practices of these tree nuts are summarized. Some new perspectives and applications of tree nut processing waste and by‐products (such as the hulls and shells) are also discussed. In addition, future trends and research needs are highlighted. The material presented here will help both stakeholders and scientists to better understand postharvest tree nut processing and provide technological recommendations to improve the efficiency and sustainability, product quality and safety, and competitiveness of the industry.

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Section: Conventional Harvest and Postharvest Processing Methodsmentioning

confidence: 99%

“…(1) The large amount of dust generated during the sweeping and picking up spreads away in the air, causing pollution and impacts human health (Baticados et al, 2019);…”

Section: Conventional Harvest and Postharvest Processing Methodsmentioning

confidence: 99%

Postharvest processing of tree nuts: Current status and future prospects—A comprehensive review

Chen

Pan

2022

Comp Rev Food Sci Food Safe

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“…The stockpiles are aerated, which allows the product moisture to equilibrate before mechanically cleaned and de-hulled with abrasive huller [33]. Currently, two major problems with this procedure are: (1) the sweeping and picking up generate large amount of dust, which spreads away in the air and causes pollution [34]; (2) almonds contact the soil directly while drying on-ground, which induces severe insect damage and microbial spoilage [35,36]. In Europe (mainly Spain), almonds are harvested off-ground and de-hulled in-field, which are then dried in silo dryers with air [31].…”

Section: Conventional Harvest and Postharvest Processing Methodsmentioning

confidence: 99%

Processing of Tree Nuts

Chen¹,

Pan²

2022

Postharvest Technology - Recent Advances, New Perspectives and Applications

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Tree nuts are consumed as healthy snacks worldwide and are important economic crops. In this chapter, post-harvest processing technologies of tree nuts are discussed, with focus on the drying, disinfection, disinfestation, and downstream processing technologies (blanching, kernel peeling and roasting) for the control and preservation of product quality and safety. Almonds, walnuts, and pistachios are selected as the representative crops for the discussion. Current status, recent advances, and challenges in the scientific research, as well as in the industrial productions are summarized. Some new perspectives and applications of tree nut processing waste and byproducts (such as shells and hulls) are also introduced. The contents presented in this chapter will help both scientists and stakeholders to better understand the tree nut processing and provide technological recommendations to improve the throughput, efficiency, and sustainability of the processes, and preserve the quality and safety of the products.

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“…In response, this study introduces a pioneering approach by leveraging a neural network model to predict PM2.5 emissions based on detailed operational data from almond harvesters, presenting an alternative to traditional direct measurement techniques. This method not only addresses the existing gap but also aligns with California's goals to meet PM2.5 attainment targets, showcasing the potential of low-dust harvester technologies as a viable solution [4,5]. In the present paper, we predict PM2.5 emissions from almond harvesters using a neural network model based on machine operational data, a non-traditional approach compared to direct measurements.…”

Section: Introductionmentioning

confidence: 99%

Predictive Neural Network Modeling for Almond Harvest Dust Control

Serajian,

Sun,

Cobian-Iñiguez

et al. 2024

Sensors

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This study introduces a neural network-based approach to predict dust emissions, specifically PM2.5 particles, during almond harvesting in California. Using a feedforward neural network (FNN), this research predicted PM2.5 emissions by analyzing key operational parameters of an advanced almond harvester. Preprocessing steps like outlier removal and normalization were employed to refine the dataset for training. The network’s architecture was designed with two hidden layers and optimized using tanh activation and MSE loss functions through the Adam algorithm, striking a balance between model complexity and predictive accuracy. The model was trained on extensive field data from an almond pickup system, including variables like brush speed, angular velocity, and harvester forward speed. The results demonstrate a notable predictive accuracy of the FNN model, with a mean squared error (MSE) of 0.02 and a mean absolute error (MAE) of 0.01, indicating high precision in forecasting PM2.5 levels. By integrating machine learning with agricultural practices, this research provides a significant tool for environmental management in almond production, offering a method to reduce harmful emissions while maintaining operational efficiency. This model presents a solution for the almond industry and sets a precedent for applying predictive analytics in sustainable agriculture.

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Particulate matter emission factors using low-dust harvesters for almond nut-picking operations

Cited by 10 publications

References 9 publications

Postharvest processing of tree nuts: Current status and future prospects—A comprehensive review

Postharvest processing of tree nuts: Current status and future prospects—A comprehensive review

Processing of Tree Nuts

Predictive Neural Network Modeling for Almond Harvest Dust Control

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