Development of a grain monitoring probe to measure temperature, relative humidity, carbon dioxide levels and logistical information during handling and transportation of soybeans

Danao, Mary‐Grace C.; Zandonadi, Rodrigo Sinaidi; Gates, Richard S.

doi:10.1016/j.compag.2015.10.008

Cited by 35 publications

(13 citation statements)

References 6 publications

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“…in the first months, which remained below that obtained from other storage conditions and was constant over time. Increases in the water content and seed mass temperature as well as in the water activity and intergranular relative humidity can result in increases in the seed respiration rates and, consequently, in higher CO 2 concentrations, thereby resulting in greater loss of matter drought and the deterioration and reduction of the apparent specific mass of seeds stored over time [27][28][29][30][31].…”

Section: Plos Onementioning

confidence: 99%

Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units

et al. 2020

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Different regions have different environmental conditions, which may be unfavorable for the preservation of the quality of stored soybean seeds over time. Thus, it is necessary to adopt specific technologies to control the storage environment conditions. Big raffia bags are widely used for the storage of soybean seeds, however these consist of a porous, permeable material that allows the exchange of gases between the packaging and the storage environment. In an effort to find a solution to this problem, in this study we evaluated low cost big bag coating alternatives, in order to minimize the effects of temperature and intergranular humidity on stored seeds. Thus, the aim of this work was to evaluate the quality of soybean cultivars subjected to different temperature and storage duration conditions and stored in raffia bags with or without internal coating. We used a completely randomized, three-factor (10 × 6 × 5) experimental design. We assessed 10 soybean cultivars, six storage environments, and five evaluation periods. Our results showed that seeds of the M-SOY 8866, M7110 IPRO, CD 2737 RR, and BMX DESAFIO 8473 RSF soybean cultivars preserved their physiological quality better in different storage environments. The storage duration had a cumulative effect on the negative factors that favor the deterioration of the quality of the stored seeds. The storage temperature was the main factor that affected the physiological quality of the stored seeds. The use of coated packaging was beneficial in preserving the physiological quality of stored soybean seeds; however, its effect was greater at ambient temperature than in a cold environment. The best storage environment for the preservation of the quality of the seeds was characterized by 10°C temperature conditions and the use of coated packaging, while the worst storage environment was characterized by ambient temperature conditions without the use of coated packaging. Thus, it was concluded that the use of coatings in raffia big bags can be an alternative for maintaining the quality of seeds of different soybean cultivars during storage in seed processing units.

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Section: Plos Onementioning

confidence: 99%

Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units

et al. 2020

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“…The humidity sensor we selected is a model SHT15 manufactured by SENSIRION®, which is widely used in experiments and industry 17,18 . The random noise of the humidity sensor is approximately 2%–4%.…”

Section: New Bfbd Experimental Methodsmentioning

confidence: 99%

An improved batch fluidized drying experimental design based on digital sensors and a minicomputer

Cui

Peng

et al. 2021

Engineering Reports

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In most undergraduate programs of chemical engineering in Chinese universities, the batch fluidized bed drying (BFBD) experiment is commonly adopted as a part of the experimental course of chemical engineering unit operation. In those BFBD experiments, the students should dry the material in a dryer, repeatedly sample and measure it outside to get its moisture content. In most cases, each sampling and measuring operation needs more than 5 min. The BFBD drying experiment conducted in that manner cannot obtain adequate, accurate data, making it difficult for the student to perform proper calculation and data analysis. In this article, the authors build a small BFBD prototype equipment and mount a set of digital temperature/humidity sensors. Then they use a Raspberry Pi 3, a kind of mini‐computer, to automatically measure and record the process parameters values online. Aided by those modern information process methods, the data accuracy and amount are all enhanced. Based on the gotten big data set, the student can get much more accurate results and do a more thorough analysis. The data analysis based on the old BFBD equipment is too straightforward and simple because it only needs the mass balance calculations. On the contrary, although the new BFBD equipment adopts an indirect way to measure the drying process, it obtains much more accurate results than before. The students must also apply more theories to get the results, such as mass transmission, the thermal balance, which makes the experiment more comprehensive. That is meaningful and helps to achieve the objectives of the chemical engineering experiments.

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“…Another typical aspect experienced by South American countries is the conditions for freight transportation. Danao et al [48] explain that in Brazil, over 60% of soybeans are transported by truck from farms to processing, storage, and export terminals, and poor road conditions, improper truck maintenance, overloading, and inefficient transfer of grain are major causes of transportation losses. This is an important aspect when dealing with agricultural commodities.…”

Section: Logistics Performance On Soybean Tradementioning

confidence: 99%

The Impact of Logistics Performance on Argentina, Brazil, and the US Soybean Exports from 2012 to 2018: A Gravity Model Approach

et al. 2020

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Soybean is one of the main sources of protein directly and indirectly in human nutrition, and it is highly dependent on logistics to connect country growers and international markets. Although recent studies deal with the impact of logistics on international trade, this impact in agricultural commodities is still an open research question. Moreover, these studies usually do not consider the influence of all components of the logistics on trade. This paper, therefore, aims at identifying the role of logistics performance in soybean exports among Argentina, Brazil, the US and their trading partners from 2012 to 2018. Using an extended gravity model, we examine whether the indicators of the World Bank Logistics Performance Index (LPI), adopted as a proxy of logistics efficiency, are an important determinant of bilateral soybean trade facilitation. The results lead to the conclusion that it is necessary to analyze the LPI throughout its indicators because they may affect trade differently. The novelty of this article is to provide an analysis of the impact of different logistics aspects on commodity trade, more specifically in the soybean case. Finally, regarding the model results, logistics infrastructure has a positive and significant correlation with soybean trade as supposed in most of the literature.

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Development of a grain monitoring probe to measure temperature, relative humidity, carbon dioxide levels and logistical information during handling and transportation of soybeans

Cited by 35 publications

References 6 publications

Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units

Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units

An improved batch fluidized drying experimental design based on digital sensors and a minicomputer

The Impact of Logistics Performance on Argentina, Brazil, and the US Soybean Exports from 2012 to 2018: A Gravity Model Approach

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