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Article

Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

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School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
2
School of Science and Engineering, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia
3
School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong
*
Authors to whom correspondence should be addressed.
Academic Editors: Miguel-Ángel Muñoz-García and Luis Hernández-Callejo
Agronomy 2021, 11(3), 530; https://doi.org/10.3390/agronomy11030530
Received: 14 January 2021 / Revised: 7 March 2021 / Accepted: 7 March 2021 / Published: 11 March 2021
(This article belongs to the Special Issue Photovoltaics and Electrification in Agriculture)
Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated. View Full-Text
Keywords: solar photovoltaics; agricultural robots; Agri 4.0; battery-based farm machinery; mobile irrigation system; smart water sprinklers; smart pesticide sprayers; multi-purpose farming robots solar photovoltaics; agricultural robots; Agri 4.0; battery-based farm machinery; mobile irrigation system; smart water sprinklers; smart pesticide sprayers; multi-purpose farming robots
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MDPI and ACS Style

Chand, A.A.; Prasad, K.A.; Mar, E.; Dakai, S.; Mamun, K.A.; Islam, F.R.; Mehta, U.; Kumar, N.M. Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot. Agronomy 2021, 11, 530. https://doi.org/10.3390/agronomy11030530

AMA Style

Chand AA, Prasad KA, Mar E, Dakai S, Mamun KA, Islam FR, Mehta U, Kumar NM. Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot. Agronomy. 2021; 11(3):530. https://doi.org/10.3390/agronomy11030530

Chicago/Turabian Style

Chand, Aneesh A., Kushal A. Prasad, Ellen Mar, Sanaila Dakai, Kabir A. Mamun, F. R. Islam, Utkal Mehta, and Nallapaneni M. Kumar. 2021. "Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot" Agronomy 11, no. 3: 530. https://doi.org/10.3390/agronomy11030530

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