Development of a Sustainable Food Supply Chain by Post Harvest Program - An Approach to a Sustainable Solution to Food Delivery and Waste Problems

Rominger, Craig; Emert, Stan; Ushimaru, Kenji

doi:10.1109/ghtc.2012.75

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…9, 10, 11 and 12 shows that the proposed method is efficient than other existing artificial machines. Separation is the final step in any post-harvesting system to conclude whether the given image of the sekai-ichi apple is falling affected and unaffected [18,54]. The photographic image and sensed features are sorted out and broken down into defined classes of affected and unaffected.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, the separator should be evaluated for its accuracy. One of the most crucial consequences in post-harvesting system analysis is the evaluation of the separation results [18,55]. Evaluating separation results is the analysis of the output to understand how well it reproduces the original structure of the affected and unaffected sekai-ichi apple image.…”

Section: Resultsmentioning

confidence: 99%

“…From the consideration of constituting the complete agriculture industry and their solid substance manufacture processing in post-harvest sector services is the most precious compositions is the direction preventing reduce the losses in intelligent agriculture [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. From the processing schemata, will be preventing post-harvest losses on the agriculture solid substance (dekopon, densuke watermelon, pineapple, ruby roman grapes, sekai-ichi apple, strawberries arnaud, yubari king melons, and bael or wood apple) manufacture, especially sekai-ichi apple is the regularly used fruit also used to make active in human-related activities of the sensory and control function consisting of an agricultural industry [17,18]. Sekai-ichi apple is being a definite number of diseases induce, but it is to the highest degree of wastage involving in the Post-Harvest process [1].…”

Section: Introductionmentioning

confidence: 99%

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An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

Sanjeevi

Kumar

Prasanna

et al. 2020

Complex Intell. Syst.

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Constituting the agriculture solid substance manufacture, the post-harvest sector processing schema is direct to preventing reduce the losses in intelligent agriculture. Many processing schemata will be preventing post-harvest losses on the agriculture solid substance manufacture, especially sekai-ichi apple is the regularly used fruit also used to make active in human-related activities of the sensory and control function consisting of an agricultural industry. Sekai-ichi apple is being a definite number of diseases induce, but it is to the highest degree of wastage involving in the Post-Harvest process. Especially sekai-ichi apple count loss is an unsafe many time because it not critically post-harvest. Regardless of consideration, the existing hierarchical model specified post-harvest losses prevention research has deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. This paper suggests a "Hierarchical Model within Ontology Enabled IoT" for distinguishable healthy separation of sekai-ichi apple by using Boosted Continuous Non-spatial whole Attribute Extraction (BCNAE). Sekai-ichi apple count loss is always safe on critically post-harvest. Proposed Post-Harvest hierarchical model specified post-harvest losses prevention and deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. In these suggestions, the separation cognitive operation takes the three levels of processing schemes such as lower level, middle level, and higher level. Firstly, the lower level is express agreements with the dynamic functioning for maintaining the definite number of manual induces. This lower level showing an absorption with the activity of manual separation by the human reliability determination. Secondly, the middle level is an express arrangement with the dynamic functioning for reducing the overfitting and accommodate to fitting the right shape deliberation. Middle level is establishing being generalized by concentrating the time-varying features in the occurrence of a change for the worse identification. Finally, the upper level is express for features refining with the help of the function of sekai-ichi apple image segmentation connection. This interpretability process helps to make the proven position of a prominent classification in a particular fruit on the agriculture solid substance. These three processing flow constructs the ontology structure with manually collected sekai-ichi apple images from a 3D sensor. The observational consequences express that the proposed BCNAE framework recognizes a detection performance carrying out with an optimized-separation ratio for time-variant of the separation process.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

Sanjeevi

Kumar

Prasanna

et al. 2020

Complex Intell. Syst.

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“…Reasons for this disconnect between resources and expected benefits vary and are often context dependent (Bloom and Hinrichs, 2011). The underlying causes can be better understood by researching the issues that exist with the actors and within the activities that connect farms and other food producers to the end consumer, known as the agri-food value chain (Rominger et al, 2012;Passuello et al, 2015). Identifying issues along the agri-food value chain could help its members (e.g.…”

Section: Introductionmentioning

confidence: 99%

Gaps and barriers along the North Carolina agri-food value chain

Kline

Joyner

Kirchoff

et al. 2016

British Food Journal

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Purpose -The purpose of this paper is twofold: first, to formulate an exhaustive list of the issues, gaps, and barriers at each level of the agri-food value chain in North Carolina (NC), and second, to identify the issues of greatest importance to its members. Design/methodology/approach -This research employed the Delphi technique in two stages of input. The first round of input was designed to create a comprehensive list of issues for each of nine "stages" of the agri-food value chain. In round two, the issues were prioritized. Findings -The top ten responses of each stage were aggregated into themes that represent the most critical issues identified by respondents: connectedness within the value chain, access to markets and marketing, affordability/availability of food and food distribution, farm profitability, societal awareness, and education about healthy, local food, and supporting institutions. Originality/value -The findings could be used by practitioners to inspire innovation in food-related products, programs, processes, organization, and marketing. The findings can help farmers, institutions, food distributors, policy makers, and other members of the agrifood value chain to make decisions about food distribution and access in NC and in other states facing similar issues and circumstances. The findings of this research also have further reaching implications, such as the connectivity of members along the agri-food value chain, the impact of a strong agri-food value chain on agritourism and the potential value of state marketing initiatives. AbstractPurpose -The purpose of this paper is twofold: first, to formulate an exhaustive list of the issues, gaps, and barriers at each level of the agri-food value chain in North Carolina (NC), and second, to identify the issues of greatest importance to its members. Design/methodology/approach -This research employed the Delphi technique in two stages of input. The first round of input was designed to create a comprehensive list of issues for each of nine "stages" of the agri-food value chain. In round two, the issues were prioritized. Findings -The top ten responses of each stage were aggregated into themes that represent the most critical issues identified by respondents: connectedness within the value chain, access to markets and marketing, affordability/availability of food and food distribution, farm profitability, societal awareness, and education about healthy, local food, and supporting institutions.Originality/value -The findings could be used by practitioners to inspire innovation in food-related products, programs, processes, organization, and marketing. The findings can help farmers, institutions, food distributors, policy makers, and other members of the agri-food value chain to make decisions about food distribution and access in NC and in other states facing similar issues and circumstances. The findings of this research also have further reaching implications, such as the connectivity of members along the agri-food value chain, the impact of a stro...

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Optimizing Surplus Food Management: A User-Centric Application Approach

Mohanraj,

et al. 2024

2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)

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Development of a Sustainable Food Supply Chain by Post Harvest Program - An Approach to a Sustainable Solution to Food Delivery and Waste Problems

Cited by 3 publications

References 2 publications

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

Gaps and barriers along the North Carolina agri-food value chain

Optimizing Surplus Food Management: A User-Centric Application Approach

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