FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903854080> ?p ?o ?g. }

• W2903854080 abstract "Small and marginal farmers, who account for over 80% of India's agricultural population, often sell their harvest at low, unfavorable prices before spoilage. These farmers often lack access to either cold storage or market forecasts. In particular, by having access to cold storage, farmers can store their produce for longer and thus have more flexibility as to when they should sell their harvest by. Meanwhile, by having access to market forecasts, farmers can more easily identify which markets to sell at and when. While affordable cold storage solutions have become more widely available, there has been less work on produce price forecasting. A key challenge is that in many regions of India, predominantly in rural and remote areas, we have either very limited or no produce pricing data available from public online sources. In this paper, we present a produce price forecasting system that pulls data from the Indian Ministry of Agriculture and Farmers Welfare's website Agmarknet, trains a model of prices using over a thousand markets, and displays interpretable price forecasts in a web application viewable from a mobile phone. Due to the pricing data being extremely sparse, our method first imputes missing entries using collaborative filtering to obtain a dense dataset. Using this imputed dense dataset, we then train a decision-tree-based classifier to predict produce prices at different markets. In terms of interpretability, we display the most relevant historical pricing data that drive each forecasted price, where we take advantage of the fact that a wide family of decision-tree-based ensemble learning methods are adaptive nearest neighbor methods. We show how to construct heuristic price uncertainty intervals based on nearest neighbors. We validate forecast accuracy on data from Agmarknet and a small field survey of a few markets in Odisha." @default.
• W2903854080 created "2018-12-22" @default.
• W2903854080 creator A5008597128 @default.
• W2903854080 creator A5015253912 @default.
• W2903854080 creator A5027169427 @default.
• W2903854080 creator A5069491541 @default.
• W2903854080 date "2019-01-04" @default.
• W2903854080 modified "2023-10-03" @default.
• W2903854080 title "An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors" @default.
• W2903854080 cites W1988790447 @default.
• W2903854080 cites W2006541041 @default.
• W2903854080 cites W2082879877 @default.
• W2903854080 cites W2104267147 @default.
• W2903854080 cites W2375956804 @default.
• W2903854080 cites W2911964244 @default.
• W2903854080 cites W2962991886 @default.
• W2903854080 cites W4301265533 @default.
• W2903854080 doi "https://doi.org/10.1145/3287098.3287100" @default.
• W2903854080 hasPublicationYear "2019" @default.
• W2903854080 type Work @default.
• W2903854080 sameAs 2903854080 @default.
• W2903854080 citedByCount "10" @default.
• W2903854080 countsByYear W29038540802019 @default.
• W2903854080 countsByYear W29038540802020 @default.
• W2903854080 countsByYear W29038540802022 @default.
• W2903854080 countsByYear W29038540802023 @default.
• W2903854080 crossrefType "proceedings-article" @default.
• W2903854080 hasAuthorship W2903854080A5008597128 @default.
• W2903854080 hasAuthorship W2903854080A5015253912 @default.
• W2903854080 hasAuthorship W2903854080A5027169427 @default.
• W2903854080 hasAuthorship W2903854080A5069491541 @default.
• W2903854080 hasBestOaLocation W29038540802 @default.
• W2903854080 hasConcept C102248274 @default.
• W2903854080 hasConcept C113238511 @default.
• W2903854080 hasConcept C11413529 @default.
• W2903854080 hasConcept C119857082 @default.
• W2903854080 hasConcept C124101348 @default.
• W2903854080 hasConcept C149782125 @default.
• W2903854080 hasConcept C154945302 @default.
• W2903854080 hasConcept C21569690 @default.
• W2903854080 hasConcept C33923547 @default.
• W2903854080 hasConcept C41008148 @default.
• W2903854080 hasConcept C557471498 @default.
• W2903854080 hasConceptScore W2903854080C102248274 @default.
• W2903854080 hasConceptScore W2903854080C113238511 @default.
• W2903854080 hasConceptScore W2903854080C11413529 @default.
• W2903854080 hasConceptScore W2903854080C119857082 @default.
• W2903854080 hasConceptScore W2903854080C124101348 @default.
• W2903854080 hasConceptScore W2903854080C149782125 @default.
• W2903854080 hasConceptScore W2903854080C154945302 @default.
• W2903854080 hasConceptScore W2903854080C21569690 @default.
• W2903854080 hasConceptScore W2903854080C33923547 @default.
• W2903854080 hasConceptScore W2903854080C41008148 @default.
• W2903854080 hasConceptScore W2903854080C557471498 @default.
• W2903854080 hasLocation W29038540801 @default.
• W2903854080 hasLocation W29038540802 @default.
• W2903854080 hasOpenAccess W2903854080 @default.
• W2903854080 hasPrimaryLocation W29038540801 @default.
• W2903854080 hasRelatedWork W1964391958 @default.
• W2903854080 hasRelatedWork W1997045192 @default.
• W2903854080 hasRelatedWork W2085149214 @default.
• W2903854080 hasRelatedWork W2381935838 @default.
• W2903854080 hasRelatedWork W2769419643 @default.
• W2903854080 hasRelatedWork W2782789473 @default.
• W2903854080 hasRelatedWork W2911156084 @default.
• W2903854080 hasRelatedWork W3116896278 @default.
• W2903854080 hasRelatedWork W3202690132 @default.
• W2903854080 hasRelatedWork W4283016678 @default.
• W2903854080 isParatext "false" @default.
• W2903854080 isRetracted "false" @default.
• W2903854080 magId "2903854080" @default.
• W2903854080 workType "article" @default.