A low‐cost IoT network to monitor microclimate variables in ecosystems

Author:

Rebaudo François1ORCID,Soulard Titouan2,Condori Bruno34,Quispe‐Tarqui Reinaldo5,Calatayud Paul‐André1ORCID,Chavez Vino Soledad4,Tonnang Henri E. Z.6ORCID,Bessière Lucas2

Affiliation:

1. UMR EGCE, IRD CNRS, Univ. Paris‐Saclay Gif‐sur‐Yvette France

2. IUT GEII Cachan Univ. Paris‐Saclay Cachan France

3. IICA‐Bolivia La Paz Bolivia

4. Universidad Pública de El Alto, UPEA La Paz Bolivia

5. Fundación PROINPA La Paz Bolivia

6. ICIPE Nairobi Kenya

Abstract

Abstract Microclimatic and macroclimatic data differ, and microclimatic data are most useful at short time intervals (30‐min scales rather than daily/monthly scales). We developed an end‐to‐end system to acquire such data at a high temporal resolution, transfer them to a server through an Internet of Things network using low‐cost technologies, and make them available with dynamic graphical visualizations and download capabilities. The system has been used for 2 years to monitor environmental variables in contrasting agroecosystems in France, Bolivia and Kenya. It has been proven to be reliable and supports the mismatch between macro‐ and microclimates. This low‐cost Internet of Things system can capture the microclimate in contrasting environments with accuracy comparable to commercial solutions, and great flexibility in data processing. It thus constitutes a possible solution in an academic context and has the potential to be used by a broad audience of scientists interested in capturing environmental variables in real time and at a high temporal frequency.

Funder

Agence Nationale de la Recherche

European Commission

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

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