IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore

The adoption of climate-adaptive agricultural technologies (CAATs) for extensive (outdoor) agriculture is stalled by funding gaps experienced by governments in the Mekong countries, with negative implications on the rural farming industry, on income and job security among smallholder farmers, and on...

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Main Authors: Montesclaros, Jose Ma. Luis P., Babu, Suresh Chandra, Teng, Paul S.
Other Authors: S. Rajaratnam School of International Studies
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145558
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1455582023-03-05T17:23:58Z IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore Montesclaros, Jose Ma. Luis P. Babu, Suresh Chandra Teng, Paul S. S. Rajaratnam School of International Studies International Food Policy Research Institute, Washington D.C. Social sciences Industrial Internet of Things Singapore The adoption of climate-adaptive agricultural technologies (CAATs) for extensive (outdoor) agriculture is stalled by funding gaps experienced by governments in the Mekong countries, with negative implications on the rural farming industry, on income and job security among smallholder farmers, and on food sufficiency and access across the population. We argue that one way of helping bridge these gaps is for providers and users of CAATs for extensive agriculture to learn from the practices of those in CAATs for intensive (indoor) agriculture. Indoor CAATs are already receiving significant private-sector investment, a key reason being their ability to leverage the complementary nature of these technologies within farms that are integrated and enabled to use the so-called Internet of things (IoT). Seamlessly linking different CAATs (sensors, crop analytics, and automation) can allow for synergies that significantly boost crop yields and, in turn, the viability of investing in CAATs. We demonstrate these synergies through two case studies, one that looks at the increasing global investment in indoor CAATs and another that describes a financial viability assessment for an indoor farm in Singapore. We conclude with lessons on how these insights can be transferred to the Mekong countries, including a prototype IoT-enabled extensive farm that integrates multiple CAATs, and an investment assessment tool for translating the yield benefits into terms that investors can appreciate. Published version 2020-12-28T07:26:18Z 2020-12-28T07:26:18Z 2019 Journal Article Montesclaros, J. M. L. P., Babu, S. C., & Teng, P. S. (2019). IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore. IFPRI Discussion Paper, 1805, 1-32. doi:10.2499/p15738coll2.133079 2157-0779 https://hdl.handle.net/10356/145558 10.2499/p15738coll2.133079 1805 1 32 en IFPRI Discussion Paper © 2019 The Author(s). All rights reserved. This paper was published in IFPRI Discussion Paper and is made available with permission of The Author(s). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences
Industrial Internet of Things
Singapore
spellingShingle Social sciences
Industrial Internet of Things
Singapore
Montesclaros, Jose Ma. Luis P.
Babu, Suresh Chandra
Teng, Paul S.
IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
description The adoption of climate-adaptive agricultural technologies (CAATs) for extensive (outdoor) agriculture is stalled by funding gaps experienced by governments in the Mekong countries, with negative implications on the rural farming industry, on income and job security among smallholder farmers, and on food sufficiency and access across the population. We argue that one way of helping bridge these gaps is for providers and users of CAATs for extensive agriculture to learn from the practices of those in CAATs for intensive (indoor) agriculture. Indoor CAATs are already receiving significant private-sector investment, a key reason being their ability to leverage the complementary nature of these technologies within farms that are integrated and enabled to use the so-called Internet of things (IoT). Seamlessly linking different CAATs (sensors, crop analytics, and automation) can allow for synergies that significantly boost crop yields and, in turn, the viability of investing in CAATs. We demonstrate these synergies through two case studies, one that looks at the increasing global investment in indoor CAATs and another that describes a financial viability assessment for an indoor farm in Singapore. We conclude with lessons on how these insights can be transferred to the Mekong countries, including a prototype IoT-enabled extensive farm that integrates multiple CAATs, and an investment assessment tool for translating the yield benefits into terms that investors can appreciate.
author2 S. Rajaratnam School of International Studies
author_facet S. Rajaratnam School of International Studies
Montesclaros, Jose Ma. Luis P.
Babu, Suresh Chandra
Teng, Paul S.
format Article
author Montesclaros, Jose Ma. Luis P.
Babu, Suresh Chandra
Teng, Paul S.
author_sort Montesclaros, Jose Ma. Luis P.
title IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
title_short IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
title_full IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
title_fullStr IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
title_full_unstemmed IoT-enabled farms and climate-adaptive agriculture technologies : investment lessons from Singapore
title_sort iot-enabled farms and climate-adaptive agriculture technologies : investment lessons from singapore
publishDate 2020
url https://hdl.handle.net/10356/145558
_version_ 1759856491052924928