IoT-Agro: A smart farming system to Colombian coffee farms

Rodríguez, Jhonn Pablo; Montoya-Munoz, Ana Isabel; Rodriguez-Pabon, Carlos; Hoyos, Javier; Corrales, Juan Carlos

doi:10.1016/j.compag.2021.106442

Cited by 29 publications

(26 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In both cases, although with different techniques, IoT optimizes water resources. It should be noted that, in [ 163 ], the data transmission included a hybrid communications stage based on Zigbee and GPRS, UMTS, and HSDPA.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

“…Other projects go beyond just monitoring and aim to fully implement SF. An advanced example is found in [ 163 ] with the implementation of a three-layer system: agricultural perception, edge, and data analysis in coffee plantations, which is one of the most important and traditional crops in Colombia. The functioning of the prototype was validated on a farm located in the department of Cauca.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks

Arrubla-Hoyos

Ojeda-Beltrán

Solano-Barliza

et al. 2022

Sensors

View full text Add to dashboard Cite

The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but also as a source of food and employment. However, the concept of smart agriculture has not been widely applied in this country, resulting in the high production of various types of crops due to the planting of large areas of land, rather than optimization of the processes involved in the activity. Due to its technical characteristics and the radio spectrum considered in its deployment, 5G can be seen as one of the technologies that could generate the greatest benefits for the Colombian agricultural sector, especially in the most remote rural areas, which currently lack mobile network coverage. This article provides an overview of the current 5G technology landscape in Colombia and presents examples of possible 5G/IoT applications that could be developed in Colombian fields. The results show that 5G could facilitate the implementation of the smart farm in Colombia, improving current production and efficiency. It is useful when designing 5G implementation plans and strategies, since it categorizes crops by regions and products. This is based on budget availability, population density, and regional development plans, among others.

show abstract

Section: Analysis Of Resultsmentioning

confidence: 99%

Section: Analysis Of Resultsmentioning

confidence: 99%

Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks

Arrubla-Hoyos

Ojeda-Beltrán

Solano-Barliza

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…In addition, UAT also secures ML to discriminate the data during the training and testing processes, so that any soil parameters/contaminants under whichever circumstances can be predicted by ML in an undifferentiated way, which enables flexible personalized data set in line with different environment/agricultural requirements. 158,159 3.3. Sensor and Data Security of RTCSM.…”

Section: Current State and Challenges Of Rtcsm Data Transmission Data...mentioning

confidence: 99%

“…Developed under universal approximation theory (UAT), DNN integrates all relevant soil dynamics with periodicity from continuous soil data and enables precise prediction. In addition, UAT also secures ML to discriminate the data during the training and testing processes, so that any soil parameters/contaminants under whichever circumstances can be predicted by ML in an undifferentiated way, which enables flexible personalized data set in line with different environment/agricultural requirements. , …”

Section: Current State and Challenges Of Rtcsm Data Transmission Data...mentioning

confidence: 99%

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

Fan

Wang

Funk

et al. 2022

Environ. Sci. Technol.

View full text Add to dashboard Cite

Most soil quality measurements have been limited to laboratory-based methods that suffer from time delay, high cost, intensive labor requirement, discrete data collection, and tedious sample pretreatment. Real-time continuous soil monitoring (RTCSM) possesses a great potential to revolutionize field measurements by providing first-hand information for continuously tracking variations of heterogeneous soil parameters and diverse pollutants in a timely manner and thus enable constant updates essential for system control and decision-making. Through a systematic literature search and comprehensive analysis of state-of-the-art RTCSM technologies, extensive discussion of their vital hurdles, and sharing of our future perspectives, this critical review bridges the knowledge gap of spatiotemporal uninterrupted soil monitoring and soil management execution. First, the barriers for reliable RTCSM data acquisition are elucidated by examining typical soil monitoring techniques (e.g., electrochemical and spectroscopic sensors). Next, the prevailing challenges of the RTCSM sensor network, data transmission, data processing, and personalized data management are comprehensively discussed. Furthermore, this review explores RTCSM data application for updating diverse strategies including high-fidelity soil process models, control methodologies, digital soil mapping, soil degradation, food security, and climate change mitigation. Finally, the significance of RTCSM implementation in agricultural and environmental fields is underscored through illuminating future directions and perspectives in this systematic review.

show abstract

“…The IoT devices selected in this study are part of the Smart Farming System based on a three-layered architecture [40]. Figure 2 shows the device belongs to the perception layer located on the farm; they send monitored variables and have communication with a higher layer (Edge Layer) which processes the data and can manage the devices if required.…”

Section: Architecturementioning

confidence: 99%

An Adaptive Sampling Period Approach for Management of IoT Energy Consumption: Case Study Approach

Rodriguez-Pabon

Riva

Zerbini

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) opens opportunities to monitor, optimize, and automate processes into the Agricultural Value Chains (AVC). However, challenges remain in terms of energy consumption. In this paper, we assessed the impact of environmental variables in AVC based on the most influential variables. We developed an adaptive sampling period method to save IoT device energy and to maintain the ideal sensing quality based on these variables, particularly for temperature and humidity monitoring. The evaluation on real scenarios (Coffee Crop) shows that the suggested adaptive algorithm can reduce the current consumption up to 11% compared with a traditional fixed-rate approach, while preserving the accuracy of the data.

show abstract

IoT-Agro: A smart farming system to Colombian coffee farms

Cited by 29 publications

References 27 publications

Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks

Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

An Adaptive Sampling Period Approach for Management of IoT Energy Consumption: Case Study Approach

Contact Info

Product

Resources

About