Environmental Impact Assessment of Thai Banana Supply Chain

Rattanapan, Cheerawit; Ounsaneha, Weerawat

doi:10.18178/ijesd.2020.11.7.1273

Cited by 3 publications

(4 citation statements)

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“…The main input of banana plantation was the chemical fertilizers as 52.37 kilogram/rai. This finding was consistency with the report of Rattanapan and Ounsaneha [4] because the nitrogen and potassium was the main requirement for banana plantation. Moreover, the water use and rain water for plantation process were 833.70 and 714.24 m 3 / Rai, respectively.…”

Section: A Life Cycle Inventory Of Thai Banana Productionsupporting

confidence: 93%

“…Banana is a potential carbohydrate source for food consumption and could be used to formulate several kinds of desserts and functional foods [2]. About 144 million tons/year of banana is widely produced in the worldwide and over 234,000 tons were produced for demand of Thai and international consumption in 2013 [3], [4]. Besides, Office of Agricultural Economics, Thailand [5] presented that the dominant area of banana plantation with the low chemical use Thailand was found in the central part of Thailand.…”

Section: Introductionmentioning

confidence: 99%

“…These finding presented that the sustainability of the water footprint is questionable in both countries for increasing the water productivity and better quality of banana fruits. Rattanapan and Ounsaneha [4] indentify that the water consumption is the important parameter of life cycle inventory for Thai banana supply chain.…”

Section: Introductionmentioning

confidence: 99%

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Water Footprint Assessment of Thai Banana Production

Rattanapan¹,

Ounsaneha²

2021

IJESD

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The aim of this research was to assess the water footprint level of Thai banana production. Firstly, the water consumption inventory of banana production was developed. The water consumptions in the banana farms and a case study of banana industry were collected based on the inventory. The results showed that the water consumption of banana plantation was 842.02 m3 including 443.50 m3 of green water, 398.52 m3 of blue water and not found grey water. Moreover, 1638.59 m3/rai was found in the one rai of banana plantation consisted of 863.06 m3/rai of green water and 775.53 m3/rai of blue water. From the finding of this study, the reduction approach of water footprint for banana production should be the reduction of watering the plant in the process of banana growing.

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Section: A Life Cycle Inventory Of Thai Banana Productionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Water Footprint Assessment of Thai Banana Production

Rattanapan¹,

Ounsaneha²

2021

IJESD

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“…Siddiq et al (2020) and FAO (2020) announce that the banana supply chain (BSC) faces several challenges and opportunities. Some studies have examined challenges, such as post-harvest losses (Priyadarshi et al, 2021), management (Hiranphaet, 2018), and environmental impacts (Rattanapan & Ounsaneha, 2020) in developing a sustainable supply chain for bananas. So, Tinzaara et al (2018) proposed the principal challenges in the BSC, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Recent Developments of Artificial Intelligence for Banana: Application Areas, Learning Algorithms, and Future Challenges

Almeyda

Ipanaqué

2022

Eng. Agríc.

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Bananas are the world's most traded fruits. Several analytical models using artificial intelligence (AI) have been developed to resolve challenges facing the banana supply chain. The number of publications in this field has steadily increased each year. However, a literature review regarding the trends of recent AI developments is not available. Thus, this study reviews the current scenario of scientific research involving AI in the stages of the banana supply chain (pre-harvest, harvest, post-harvest, processing and retail). This review covers literature published between 2015 and 2020 from online databases. Fiftytwo relevant studies were retrieved from 23 countries. Consequently, we propose an AIperformance framework based on real applications implemented for bananas: the application domain, learning algorithms, performance metrics, and reported impacts. This paper discovers 11 AI-application areas for bananas, such as ripeness, leaf diseases, quality grading, crop type, crop yield, and soil control. Moreover, this review summarizes the main functionality of learning algorithms found in the literature (ANN, CNN, SVM, and K-NN). Finally, the future challenges are discussed. This comprehensive review will help researchers understand AI applications in the banana sector and analyze the knowledge gap for future studies.

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The Potential for Value-Added Banana Production Waste under Circular Economy Concept

Rattanapan¹,

Ounsaneha²

2022

IJESD

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The objective of this research was to identify the potential for value-added banana production by adopting circular economy concept. The resource utilization performance of a banana production factory in the middle part of Thailand was collected in 2020. The economic analysis and circular economy were used for developing the potential of banana production waste as value-added products. Finally, potential scenarios of value-added banana production were selected by brainstorming with the factory owner based on the circular economy approach. The result found four types of waste in banana production, including wastewater, rejected banana material, banana peel, empty banana bunch, and waste generated from the production process. Nine scenarios for value-added banana production were developed and proposed by the resource performance, economic analysis and circular economy implementation. After brainstorming with the banana factory owner, four potential scenarios for value-added banana production waste under circular economy concept were selected. The details of potential scenarios were as the following: banana powder form rejected banana, bio-compost from banana peels, re-use of wastewater, and sale of solid waste. From this finding, the circular economy concept should be recommended and implemented for enhancing the efficiency of the banana production process.

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Environmental Impact Assessment of Thai Banana Supply Chain

Cited by 3 publications

References 0 publications

Water Footprint Assessment of Thai Banana Production

Water Footprint Assessment of Thai Banana Production

Recent Developments of Artificial Intelligence for Banana: Application Areas, Learning Algorithms, and Future Challenges

The Potential for Value-Added Banana Production Waste under Circular Economy Concept

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