Internet of Plants (IoP) Empowers Bottom-up Innovations in Greenhouse Horticulture
Agriculture can be defined as a kind of the “Monodzukuri” industry (manufacturing industry) that utilizes crop photosynthesis to generate products (photosynthates). Agricultural production entirely depends on crop physioecological processes, such as photosynthesis, transpiration, translocation, and...
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Veröffentlicht in: | Environment control in biology 2022/01/01, Vol.60(1), pp.3-12 |
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creator | KITANO, Masaharu NOMURA, Koichi YAMAZAKI, Tomihiro IWAO, Tadashige SAITOU, Masahiko MORI, Makito YASUTAKE, Daisuke KANEKO, Takahiro UKEDA, Hiroyuki ISHIZUKA, Satoshi FUJIWARA, Taku OKABAYASHI, Toshihiro |
description | Agriculture can be defined as a kind of the “Monodzukuri” industry (manufacturing industry) that utilizes crop photosynthesis to generate products (photosynthates). Agricultural production entirely depends on crop physioecological processes, such as photosynthesis, transpiration, translocation, and vegetative and reproductive growth, which are strongly affected by environmental conditions and farming technologies in crop fields and greenhouses. Since the beginning of agriculture, visualizing time-series data on crop physioecological processes and applying these data in everyday farm work have been impossible because of the difficulties in measuring crop physioecological processes. This invisibility of crop physioecological processes hinders not only farmers’ inventive ideas but also Information and Communication Technology (ICT) and Artificial Intelligence (AI) to drive evolution and improvements in everyday farming to achieve demand-oriented crop production. Therefore, we propose an innovative concept, the “Internet of Plants (IoP),” as a regional information infrastructure for smart agriculture. This concept is driven by a cloud computing system (IoP Cloud), which is equipped with physioecological and farming support AI engines that visualize, functionalize and share highly explainable information about crop physioecological processes and farming technologies. The IoP is expected to facilitate the bottom-up evolution of agriculture, which will be driven by smart farmers empowered by IoP functions. |
doi_str_mv | 10.2525/ecb.60.3 |
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Agricultural production entirely depends on crop physioecological processes, such as photosynthesis, transpiration, translocation, and vegetative and reproductive growth, which are strongly affected by environmental conditions and farming technologies in crop fields and greenhouses. Since the beginning of agriculture, visualizing time-series data on crop physioecological processes and applying these data in everyday farm work have been impossible because of the difficulties in measuring crop physioecological processes. This invisibility of crop physioecological processes hinders not only farmers’ inventive ideas but also Information and Communication Technology (ICT) and Artificial Intelligence (AI) to drive evolution and improvements in everyday farming to achieve demand-oriented crop production. Therefore, we propose an innovative concept, the “Internet of Plants (IoP),” as a regional information infrastructure for smart agriculture. This concept is driven by a cloud computing system (IoP Cloud), which is equipped with physioecological and farming support AI engines that visualize, functionalize and share highly explainable information about crop physioecological processes and farming technologies. The IoP is expected to facilitate the bottom-up evolution of agriculture, which will be driven by smart farmers empowered by IoP functions.</description><identifier>ISSN: 1880-554X</identifier><identifier>EISSN: 1883-0986</identifier><identifier>DOI: 10.2525/ecb.60.3</identifier><language>eng</language><publisher>Fukuoka: Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists</publisher><subject>Agricultural production ; Agriculture ; AI engine ; Artificial intelligence ; Cloud computing ; cloud computing system ; Communication technology ; Crop fields ; Crop production ; Crops ; Digital agriculture ; Engines ; Environmental conditions ; Evolution ; Farmers ; Farming ; Farms ; Greenhouses ; Horticulture ; hybrid AI model ; Information processing ; Internet ; Internet of Plants (IoP) ; Manufacturing industry ; Photosynthates ; Photosynthesis ; physioecological processes ; Translocation ; Transpiration ; Visibility</subject><ispartof>Environmental Control in Biology, 2022/01/01, Vol.60(1), pp.3-12</ispartof><rights>2022 Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists</rights><rights>Copyright Japan Science and Technology Agency 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3793-64f5ffe3e6097ecba13976f171995afa676ff89f1c28654dd636b2610958dfef3</citedby><cites>FETCH-LOGICAL-c3793-64f5ffe3e6097ecba13976f171995afa676ff89f1c28654dd636b2610958dfef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1883,27924,27925</link.rule.ids></links><search><creatorcontrib>KITANO, Masaharu</creatorcontrib><creatorcontrib>NOMURA, Koichi</creatorcontrib><creatorcontrib>YAMAZAKI, Tomihiro</creatorcontrib><creatorcontrib>IWAO, Tadashige</creatorcontrib><creatorcontrib>SAITOU, Masahiko</creatorcontrib><creatorcontrib>MORI, Makito</creatorcontrib><creatorcontrib>YASUTAKE, Daisuke</creatorcontrib><creatorcontrib>KANEKO, Takahiro</creatorcontrib><creatorcontrib>UKEDA, Hiroyuki</creatorcontrib><creatorcontrib>ISHIZUKA, Satoshi</creatorcontrib><creatorcontrib>FUJIWARA, Taku</creatorcontrib><creatorcontrib>OKABAYASHI, Toshihiro</creatorcontrib><title>Internet of Plants (IoP) Empowers Bottom-up Innovations in Greenhouse Horticulture</title><title>Environment control in biology</title><addtitle>Environ. Control Biol.</addtitle><description>Agriculture can be defined as a kind of the “Monodzukuri” industry (manufacturing industry) that utilizes crop photosynthesis to generate products (photosynthates). Agricultural production entirely depends on crop physioecological processes, such as photosynthesis, transpiration, translocation, and vegetative and reproductive growth, which are strongly affected by environmental conditions and farming technologies in crop fields and greenhouses. Since the beginning of agriculture, visualizing time-series data on crop physioecological processes and applying these data in everyday farm work have been impossible because of the difficulties in measuring crop physioecological processes. This invisibility of crop physioecological processes hinders not only farmers’ inventive ideas but also Information and Communication Technology (ICT) and Artificial Intelligence (AI) to drive evolution and improvements in everyday farming to achieve demand-oriented crop production. Therefore, we propose an innovative concept, the “Internet of Plants (IoP),” as a regional information infrastructure for smart agriculture. This concept is driven by a cloud computing system (IoP Cloud), which is equipped with physioecological and farming support AI engines that visualize, functionalize and share highly explainable information about crop physioecological processes and farming technologies. The IoP is expected to facilitate the bottom-up evolution of agriculture, which will be driven by smart farmers empowered by IoP functions.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>AI engine</subject><subject>Artificial intelligence</subject><subject>Cloud computing</subject><subject>cloud computing system</subject><subject>Communication technology</subject><subject>Crop fields</subject><subject>Crop production</subject><subject>Crops</subject><subject>Digital agriculture</subject><subject>Engines</subject><subject>Environmental conditions</subject><subject>Evolution</subject><subject>Farmers</subject><subject>Farming</subject><subject>Farms</subject><subject>Greenhouses</subject><subject>Horticulture</subject><subject>hybrid AI model</subject><subject>Information processing</subject><subject>Internet</subject><subject>Internet of Plants (IoP)</subject><subject>Manufacturing industry</subject><subject>Photosynthates</subject><subject>Photosynthesis</subject><subject>physioecological processes</subject><subject>Translocation</subject><subject>Transpiration</subject><subject>Visibility</subject><issn>1880-554X</issn><issn>1883-0986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo90E9LwzAUAPAiCo458CMEvMxDZ9I0aYInHXMrDByi4C1k3Yvr6JKZpIrf3m7Tnd574cf7kyS5JniUsYzdQbUccTyiZ0mPCEFTLAU_P-Q4ZSx_v0wGIdRLjHOeswLLXvJS2gjeQkTOoEWjbQxoWLrFLZpsd-4bfECPLka3TdsdKq11XzrWzgZUWzT1AHbt2gBo5nysq7aJrYer5MLoJsDgL_aTt6fJ63iWzp-n5fhhnla0kDTluWHGAAWOZdEtrgmVBTekIFIybTTvCiOkIVUmOMtXK075MuMESyZWBgztJzfHvjvvPlsIUW1c6203UmWc5lJQIopODY-q8i4ED0btfL3V_kcRrPafprrZimNFO3p_pJsQ9QecoN7f1sA_JAd9eq3W2iuw9BcrL3TV</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>KITANO, Masaharu</creator><creator>NOMURA, Koichi</creator><creator>YAMAZAKI, Tomihiro</creator><creator>IWAO, Tadashige</creator><creator>SAITOU, Masahiko</creator><creator>MORI, Makito</creator><creator>YASUTAKE, Daisuke</creator><creator>KANEKO, Takahiro</creator><creator>UKEDA, Hiroyuki</creator><creator>ISHIZUKA, Satoshi</creator><creator>FUJIWARA, Taku</creator><creator>OKABAYASHI, Toshihiro</creator><general>Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QO</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>L.G</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20220101</creationdate><title>Internet of Plants (IoP) Empowers Bottom-up Innovations in Greenhouse Horticulture</title><author>KITANO, Masaharu ; NOMURA, Koichi ; YAMAZAKI, Tomihiro ; IWAO, Tadashige ; SAITOU, Masahiko ; MORI, Makito ; YASUTAKE, Daisuke ; KANEKO, Takahiro ; UKEDA, Hiroyuki ; ISHIZUKA, Satoshi ; FUJIWARA, Taku ; OKABAYASHI, Toshihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3793-64f5ffe3e6097ecba13976f171995afa676ff89f1c28654dd636b2610958dfef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>AI engine</topic><topic>Artificial intelligence</topic><topic>Cloud computing</topic><topic>cloud computing system</topic><topic>Communication technology</topic><topic>Crop fields</topic><topic>Crop production</topic><topic>Crops</topic><topic>Digital agriculture</topic><topic>Engines</topic><topic>Environmental conditions</topic><topic>Evolution</topic><topic>Farmers</topic><topic>Farming</topic><topic>Farms</topic><topic>Greenhouses</topic><topic>Horticulture</topic><topic>hybrid AI model</topic><topic>Information processing</topic><topic>Internet</topic><topic>Internet of Plants (IoP)</topic><topic>Manufacturing industry</topic><topic>Photosynthates</topic><topic>Photosynthesis</topic><topic>physioecological processes</topic><topic>Translocation</topic><topic>Transpiration</topic><topic>Visibility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KITANO, Masaharu</creatorcontrib><creatorcontrib>NOMURA, Koichi</creatorcontrib><creatorcontrib>YAMAZAKI, Tomihiro</creatorcontrib><creatorcontrib>IWAO, Tadashige</creatorcontrib><creatorcontrib>SAITOU, Masahiko</creatorcontrib><creatorcontrib>MORI, Makito</creatorcontrib><creatorcontrib>YASUTAKE, Daisuke</creatorcontrib><creatorcontrib>KANEKO, Takahiro</creatorcontrib><creatorcontrib>UKEDA, Hiroyuki</creatorcontrib><creatorcontrib>ISHIZUKA, Satoshi</creatorcontrib><creatorcontrib>FUJIWARA, Taku</creatorcontrib><creatorcontrib>OKABAYASHI, Toshihiro</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Environment control in biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KITANO, Masaharu</au><au>NOMURA, Koichi</au><au>YAMAZAKI, Tomihiro</au><au>IWAO, Tadashige</au><au>SAITOU, Masahiko</au><au>MORI, Makito</au><au>YASUTAKE, Daisuke</au><au>KANEKO, Takahiro</au><au>UKEDA, Hiroyuki</au><au>ISHIZUKA, Satoshi</au><au>FUJIWARA, Taku</au><au>OKABAYASHI, Toshihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Internet of Plants (IoP) Empowers Bottom-up Innovations in Greenhouse Horticulture</atitle><jtitle>Environment control in biology</jtitle><addtitle>Environ. Control Biol.</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>60</volume><issue>1</issue><spage>3</spage><epage>12</epage><pages>3-12</pages><issn>1880-554X</issn><eissn>1883-0986</eissn><abstract>Agriculture can be defined as a kind of the “Monodzukuri” industry (manufacturing industry) that utilizes crop photosynthesis to generate products (photosynthates). Agricultural production entirely depends on crop physioecological processes, such as photosynthesis, transpiration, translocation, and vegetative and reproductive growth, which are strongly affected by environmental conditions and farming technologies in crop fields and greenhouses. Since the beginning of agriculture, visualizing time-series data on crop physioecological processes and applying these data in everyday farm work have been impossible because of the difficulties in measuring crop physioecological processes. This invisibility of crop physioecological processes hinders not only farmers’ inventive ideas but also Information and Communication Technology (ICT) and Artificial Intelligence (AI) to drive evolution and improvements in everyday farming to achieve demand-oriented crop production. Therefore, we propose an innovative concept, the “Internet of Plants (IoP),” as a regional information infrastructure for smart agriculture. This concept is driven by a cloud computing system (IoP Cloud), which is equipped with physioecological and farming support AI engines that visualize, functionalize and share highly explainable information about crop physioecological processes and farming technologies. 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subjects | Agricultural production Agriculture AI engine Artificial intelligence Cloud computing cloud computing system Communication technology Crop fields Crop production Crops Digital agriculture Engines Environmental conditions Evolution Farmers Farming Farms Greenhouses Horticulture hybrid AI model Information processing Internet Internet of Plants (IoP) Manufacturing industry Photosynthates Photosynthesis physioecological processes Translocation Transpiration Visibility |
title | Internet of Plants (IoP) Empowers Bottom-up Innovations in Greenhouse Horticulture |
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