From crop specific to variety specific in crop modeling for the smart farm: A case study with blueberry
Facility cultivation has been evolved from greenhouses to smart farms using artificial intelligence (AI) that simulates big data to maximize production. However, the big data for AI in smart farm is not studied well; the effect of differences among varieties within a crop remains unclear. Therefore,...
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| Veröffentlicht in: | PloS one 2022-08, Vol.17 (8), p.e0273845-e0273845 |
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| creator | Han, Gyung Deok Choi, Jeong Min Choi, Inchan Kim, Yoonha Heo, Seong Chung, Yong Suk |
| description | Facility cultivation has been evolved from greenhouses to smart farms using artificial intelligence (AI) that simulates big data to maximize production. However, the big data for AI in smart farm is not studied well; the effect of differences among varieties within a crop remains unclear. Therefore, the response of two varieties of blueberry, ‘Suziblue’ and ‘Star’, to light was tested using SAPD meter in order to demonstrate the environmental responses could be different among varieties within the same species. The results showed that those two varieties had significant differences in SPAD values based on the leaf’s position and time, whereas ‘Star’ did not. This indicates that the effect of light depends on the variety, which implies that other traits and other crops may show similar differences. These results are based on a simple experiment. However, it is enough to elucidate that it is extremely important to characterize responses to the environment not only for each crop but also for each variety to collect data for smart farming to increase accuracy for modeling; consequently, to maximize the efficiency of these facilities. |
| doi_str_mv | 10.1371/journal.pone.0273845 |
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However, the big data for AI in smart farm is not studied well; the effect of differences among varieties within a crop remains unclear. Therefore, the response of two varieties of blueberry, ‘Suziblue’ and ‘Star’, to light was tested using SAPD meter in order to demonstrate the environmental responses could be different among varieties within the same species. The results showed that those two varieties had significant differences in SPAD values based on the leaf’s position and time, whereas ‘Star’ did not. This indicates that the effect of light depends on the variety, which implies that other traits and other crops may show similar differences. These results are based on a simple experiment. However, it is enough to elucidate that it is extremely important to characterize responses to the environment not only for each crop but also for each variety to collect data for smart farming to increase accuracy for modeling; consequently, to maximize the efficiency of these facilities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0273845</identifier><identifier>PMID: 36040983</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Agricultural industry ; Agricultural production ; Artificial intelligence ; Big Data ; Biology and Life Sciences ; Blueberries ; Case reports ; Chlorophyll ; Chloroplasts ; Computer and Information Sciences ; Crops ; Cultivars ; Cultivation ; Data collection ; Digital agriculture ; Evaluation ; Farm buildings ; Farm management ; Farming ; Farms ; Fruit cultivation ; Innovations ; Leaves ; Light effects ; Model accuracy ; Modelling ; Photosynthesis ; Physical Sciences ; Statistical analysis ; Sun ; Vaccinium</subject><ispartof>PloS one, 2022-08, Vol.17 (8), p.e0273845-e0273845</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Han et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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However, the big data for AI in smart farm is not studied well; the effect of differences among varieties within a crop remains unclear. Therefore, the response of two varieties of blueberry, ‘Suziblue’ and ‘Star’, to light was tested using SAPD meter in order to demonstrate the environmental responses could be different among varieties within the same species. The results showed that those two varieties had significant differences in SPAD values based on the leaf’s position and time, whereas ‘Star’ did not. This indicates that the effect of light depends on the variety, which implies that other traits and other crops may show similar differences. These results are based on a simple experiment. However, it is enough to elucidate that it is extremely important to characterize responses to the environment not only for each crop but also for each variety to collect data for smart farming to increase accuracy for modeling; consequently, to maximize the efficiency of these facilities.</description><subject>Agricultural industry</subject><subject>Agricultural production</subject><subject>Artificial intelligence</subject><subject>Big Data</subject><subject>Biology and Life Sciences</subject><subject>Blueberries</subject><subject>Case reports</subject><subject>Chlorophyll</subject><subject>Chloroplasts</subject><subject>Computer and Information Sciences</subject><subject>Crops</subject><subject>Cultivars</subject><subject>Cultivation</subject><subject>Data collection</subject><subject>Digital agriculture</subject><subject>Evaluation</subject><subject>Farm buildings</subject><subject>Farm management</subject><subject>Farming</subject><subject>Farms</subject><subject>Fruit 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However, the big data for AI in smart farm is not studied well; the effect of differences among varieties within a crop remains unclear. Therefore, the response of two varieties of blueberry, ‘Suziblue’ and ‘Star’, to light was tested using SAPD meter in order to demonstrate the environmental responses could be different among varieties within the same species. The results showed that those two varieties had significant differences in SPAD values based on the leaf’s position and time, whereas ‘Star’ did not. This indicates that the effect of light depends on the variety, which implies that other traits and other crops may show similar differences. These results are based on a simple experiment. 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| subjects | Agricultural industry Agricultural production Artificial intelligence Big Data Biology and Life Sciences Blueberries Case reports Chlorophyll Chloroplasts Computer and Information Sciences Crops Cultivars Cultivation Data collection Digital agriculture Evaluation Farm buildings Farm management Farming Farms Fruit cultivation Innovations Leaves Light effects Model accuracy Modelling Photosynthesis Physical Sciences Statistical analysis Sun Vaccinium |
| title | From crop specific to variety specific in crop modeling for the smart farm: A case study with blueberry |
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