Automation in Agriculture and IoT

This paper presents the design and development of low-cost Internet of Things (IoT) system for remote monitoring of agriculture ecosystem. The aims of the research are to evaluate the accuracy and reliability of data collected and transmitted with developed IoT system and access from remote location. These data are then compared with the readings of the conventional stand-alone sensors or meters. The system is set in the laboratory and utilises low cost microcontroller, sensors, Wi-Fi network communication, cloud storage, mobile and web application. Microcontroller Arduino Uno ATMega328P is used with ESP8266 Wi-Fi module to enable the device to be connected to the Internet. The sensors used in this system are selected base on the plant's growth factor. All data collected from the sensors are sent to the Cloud platform such as ThingSpeak and Blynk. Periodical monitoring is carried out on laptop and mobile phone. The results showed that the data taken from the soil moisture, soil temperature, light intensity, surrounding temperature and humidity are accurate and reliable.

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“…The higher the conductivity, the lower the resistance. Hence, the reading relies on the water content in the soil [17].…”

Section: Fig 3 -Hardware Connectionmentioning

confidence: 99%

Accuracy and Reliability of Data in IoT System for Smart Agriculture

Omar

Zen

Aldrin

et al. 2020

IJIE

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“…Industry 4.0 can contribute positively to reduction of environmental impact of processes [9], but it can increase production of waste from electric and electronic equipment (WEEE [16]) and social problems [17] such as unemployment [18], even if the correlation between these two factors has to be studied deeply, due to higher production rate [19]. In parallel with applications, also sensors and automatic data collection for the Agriculture 4.0 is a promising field of research because supporting systems are mandatory to develop integrated technological solutions [20], [21], [22]. Authors from [23], [24] in addition propose a literature review to collect Agriculture 4.0 specific tools.…”

Section: Introductionmentioning

confidence: 99%

Preliminary design of an anthropomorphic cutting and potting system for automated agriculture

Delogu

Uggiosi

Barbieri

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The study presented is part of the Rural Development Programme of the Tuscany Region and the European Union: the objectives are to limit the number of manual operations, to enhance technological transfer operations, to share best practices and to reduce the carbon footprint of the Scindapsus cuttings production chain. In this context, the work presents the approach to a preliminary design of an anthropomorphic system for automated cutting and potting of cuttings. For a better understanding of the current procedures and solutions, a critical analysis of the State of the Art of agricultural automation processes available in the literature was carried out. This study was developed in parallel with market research to identify the custom components to be produced to make a choice consistent with the technical specifications. The design has dealt with the system for handling and preparing the cuttings through panels and conveyor belts, starting from the needs defined in the initial phase. The analysis considered, both at a mechanical and functional level (evaluation of times and methods), the layout of production space with a high degree of automation for cutting and potting cuttings, with particular attention to the issues of the workplace safety and the maintainability of the elements: the best configuration of resources, personnel and equipment were designed through a what-if scenario analysis populated by deterministic and stochastic events.

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“…While the whole world is badly affected by COVID-19, the terrible Agriculture is humanity's oldest and most important economic activity, providing us with essential food, fiber, feed, and fuel [9,10]. As the world's population continues to rise while land resources remain constant, there is an increasing need to improve agricultural productivity, which can be achieved by a smart agriculture implementation approach [11][12][13]. Each crop is unique and has its requirement for growth.…”

Section: Introductionmentioning

confidence: 99%

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

2021

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The global economy is now under threat due to the ongoing domestic and international lockdown for COVID-19. Many have already lost their jobs, and businesses have been unstable in the Corona era. Apart from educational institutions, banks, privately owned institutions, and agriculture, there are signs of economic recession in almost all sectors. The roles of modern technology, the Internet of things, and artificial intelligence are undeniable in helping the world achieve economic prosperity in the post-COVID-19 economic downturn. Food production must increase by 60% by 2050 to meet global food security demands in the face of uncertainty such as the COVID-19 pandemic and a growing population. Given COVID 19’s intensity and isolation, improving food production and distribution systems is critical to combating hunger and addressing the double burden of malnutrition. As the world’s population is growing day by day, according to an estimation world’s population reaches 9.6 billion by 2050, so there is a growing need to modify the agriculture methods, technologies so that maximum crops can be attained and human effort can be reduced. The urban smart vertical farming (USVF) is a solution to secure food production, which can be introduced at any adaptive reuse, retrofit, or new buildings in vertical manners. This paper aims to provide a comprehensive review of the concept of USVF using various techniques to enhance productivity as well as its types, topologies, technologies, control systems, social acceptance, and benefits. This review has focused on numerous issues, challenges, and recommendations in the development of the system, vertical farming management, and modern technologies approach.

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Automation in Agriculture and IoT

Cited by 47 publications

References 6 publications

Accuracy and Reliability of Data in IoT System for Smart Agriculture

Accuracy and Reliability of Data in IoT System for Smart Agriculture

Preliminary design of an anthropomorphic cutting and potting system for automated agriculture

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

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