Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model
Crop planning prevents inappropriate crop selection and rotation by farmers which can cause economic loss and biodiversity issues. Technology solution for crop planning is a digital innovation in conserving traditional crop varieties and achieving optimal yield. Solutions range from database-oriente...
Published in: | Lecture Notes in Networks and Systems |
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Springer Science and Business Media Deutschland GmbH
2023
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135831119&doi=10.1007%2f978-981-19-1607-6_64&partnerID=40&md5=7af6131958c13553c474e1ff29be4885 |
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2-s2.0-85135831119 Nordin A.; Faizar F.A. Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model 2023 Lecture Notes in Networks and Systems 447 10.1007/978-981-19-1607-6_64 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135831119&doi=10.1007%2f978-981-19-1607-6_64&partnerID=40&md5=7af6131958c13553c474e1ff29be4885 Crop planning prevents inappropriate crop selection and rotation by farmers which can cause economic loss and biodiversity issues. Technology solution for crop planning is a digital innovation in conserving traditional crop varieties and achieving optimal yield. Solutions range from database-oriented crop decision support systems to big data analytics platforms. However, technological capability must match the situated stage of farmers’ digital fluency and skill as traits of their digital culture for decision-making. This research presents a work to explore two aspects of the smart village crop planning application model, which are the pragmatic use of the prediction model and rural community as-is digital culture. As a result, a smart village crop planning application model recommends three components, crop predictor, collaborative tool, and ask expert application, to enhance farmer’s crop planning decision-making culture. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Science and Business Media Deutschland GmbH 23673370 English Conference paper |
author |
Nordin A.; Faizar F.A. |
spellingShingle |
Nordin A.; Faizar F.A. Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
author_facet |
Nordin A.; Faizar F.A. |
author_sort |
Nordin A.; Faizar F.A. |
title |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
title_short |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
title_full |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
title_fullStr |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
title_full_unstemmed |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
title_sort |
Smart Village Crop Planning: Enhancing Farmer’s Decision-Making Culture with Data-Driven Predictive Model |
publishDate |
2023 |
container_title |
Lecture Notes in Networks and Systems |
container_volume |
447 |
container_issue |
|
doi_str_mv |
10.1007/978-981-19-1607-6_64 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135831119&doi=10.1007%2f978-981-19-1607-6_64&partnerID=40&md5=7af6131958c13553c474e1ff29be4885 |
description |
Crop planning prevents inappropriate crop selection and rotation by farmers which can cause economic loss and biodiversity issues. Technology solution for crop planning is a digital innovation in conserving traditional crop varieties and achieving optimal yield. Solutions range from database-oriented crop decision support systems to big data analytics platforms. However, technological capability must match the situated stage of farmers’ digital fluency and skill as traits of their digital culture for decision-making. This research presents a work to explore two aspects of the smart village crop planning application model, which are the pragmatic use of the prediction model and rural community as-is digital culture. As a result, a smart village crop planning application model recommends three components, crop predictor, collaborative tool, and ask expert application, to enhance farmer’s crop planning decision-making culture. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
publisher |
Springer Science and Business Media Deutschland GmbH |
issn |
23673370 |
language |
English |
format |
Conference paper |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678023662764032 |