GEODATA: Information System Based on Geospatial for Early Warning Tracking and Analysis Agricultural Plant Diseases in Central Java

Prasetyo, Sri Yulianto Joko; Agus, Yohanes Hendro; Dewi, Christine; Simanjuntak, Bistok Hasiholan; Hartomo, Kristoko Dwi

doi:10.1088/1757-899x/180/1/012070

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Hu et al combined the distributed IoT, sensors, and cloud computing technology to establish an intelligent monitoring system for chicken coop facility breeding considering the requirements of heterogeneous data integration [56]. Prasetyo et al developed a geographical space-based information system for prompt detection, monitoring, and evaluation of plant diseases [57]. Guillermo et al designed electronic equipment for monitoring climate variables and developed a monitoring system for avocado wilt disease [58].…”

Section: Aei Modelling Methodsmentioning

confidence: 99%

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A review on basic theory and technology of agricultural energy internet

Zhang,

Fu,

Xue

et al. 2023

IET Renewable Power Gen

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In the context of modern agricultural production mode and domestic energy consumption, profound changes have taken place in agricultural and rural energy consumption, resulting in the demand for new technology development in various sectors of source, network, and load in rural energy systems. Agricultural energy internet (AEI) has promoted the development of renewable energy and agricultural electrification in villages. The construction of the AEI is crucial for achieving the synergistic development of agriculture, energy, and environment. The basic theory and key technologies of AEI are investigated and the prospects for the direction of agricultural energy technology are conducted. The research investigation shows that the AEI framework proposed by China Agricultural University is of great significance for realizing agricultural electrification and reducing agricultural carbon emissions. The article describes in detail the key data and characteristics of agricultural electrification loads. Digital twin technology and virtual power plant technology will be crucial to the construction of advanced AEI.

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Section: Aei Modelling Methodsmentioning

confidence: 99%

“…Prasetyo et al. developed a geographical space‐based information system for prompt detection, monitoring, and evaluation of plant diseases [57]. Guillermo et al.…”

Section: Aei Modelling Methodsmentioning

confidence: 99%