Enhancing AI based evaluation for smart cultivation and crop testing using agro-datasets

David, Shibin; Anand, Rohit; Sagayam, Martin

doi:10.33969/ais.2020.21010

Cited by 11 publications

(4 citation statements)

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“…It is necessary to develop a network and computer system for rural regions that is more effective and dependable in terms of energy supply, network latency, throughput, and performance. This improves access to the advantages of precision agriculture by reducing network delay in locations with lower connection and greater bandwidth limits [17]. This will facilitate the availability of emerging small-scale farmers to resources for cyclical farming that have the potential to improve production and maybe other aspects of agricultural output.…”

Section: Digital Farmingmentioning

confidence: 99%

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The Application of Artificial Intelligence (Ai) and Internet of Things (Iot) Middleware in Agriculture

Lee

2024

jes

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Artificial intelligence (AI) devices like master frameworks, regular language handling, discourse acknowledgment, and machine vision have modified both the amount and nature of work in the rural area because of the developing worldwide populace, the rising interest for food, as well as changes in climate and the availability of water. Specialists and researchers are presently attempting to involve new IoT advances in savvy cultivating to help ranchers in making better seeds, crop assurance, and manures utilizing AI technology. Both the nation's overall economy and the profitability of ranchers will be benefited from this. Farming robots, prescient investigation, and soil and yield observing are the three main regions where AI is beginning to appear. In this sense, ranchers are utilizing sensors and soil test all the more often to gather information that the executives frameworks might use for more examination. Through an outline of AI applications in the farming business, this paper makes a commitment to the area. It starts with a prologue to AI and an investigation of all AI strategies utilized in the horticultural area, including AI, the Internet of Things using Universal Middleware, master frameworks, picture handling, and PC vision. This study incorporates a complete examination of the literature to research how artificial intelligence (AI) and the Internet of Things (IoT) are utilized in farming.

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Section: Digital Farmingmentioning

confidence: 99%

“…The combination of technology and agribusiness has made life simpler for ranchers since they never again need to visit every one of the fields around evening time and remain there until the power or water supply is turned on [9].…”

Section: Introductionmentioning

confidence: 99%

The Application of Artificial Intelligence (Ai) and Internet of Things (Iot) Middleware in Agriculture

Lee

2024

jes

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“…Az akadémiai szférában egyesek tiltanák, mások szabaddá tennék az MI használatát a diákok számára. [2]. Az a tapasztalat, hogy nem érdemes a teljes tiltás irányába menni, mivel az oktatók nem rendelkeznek felügyeleti joggal a tanulók eszközei felett [3] [4].…”

Section: Bevezetésunclassified

Mesterséges intelligencia adatkészletek hatékony fordítása nyílt forrású technológiák segítségével

Cserkó,

Pásztor

2023

Gradus

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A Mesterséges Intelligencia (MI) egyre inkább megkerülhetetlen technológiává válik az utóbbi években és forradalmasítja az ipar, az oktatás és a magánélet különböző területeit. Ahhoz azonban, hogy megfelelő minőségű adatmodelleket készíthessünk, igen nagy mennyiségű adatra van szükség. Csak a megfelelő minőségű adatforrások birtokában lehet jó minőségű alkalmazásokat fejleszteni és kiaknázni az MI-ben rejlő teljes potenciált. Ezek az adatforrások használhatóak fel a modellek létrehozása és betanítása során, viszont igen nehéz jó minőségűeke találni. Jelentős probléma az, hogy a legtöbb adatforrás vagy adatkészlet angol nyelven érhető el. A cikk összefoglalja egy saját környezetben megvalósított fordító alkalmazás elkészítését. Vizsgálja az egyes architektúrák hatékonyságát és bemutatja a fejlesztési folyamat lépéseit és kihívásait is.

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“…For instance, AI-powered predictive analytics enable the accurate forecasting of pest and disease outbreaks, thereby facilitating proactive management strategies. Moreover, precision farming, empowered by AI, allows for site-specific management practices that optimize resource utilization and reduce environmental impact(Shibin David et al, 2020;Sumanta Bhattacharya, 2021). The integration of AI in organic farming not only holds the potential to increase yields and reduce environmental harm but also to meet the growing global demand for organic produce (Davis et al, 2018;Denis Vasiliev et al, 2022;Koushik et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Smart Farming: Empowering Organic Agriculture with AI

Kaur,

Sharma,

Saini

2024

IJRASET

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The integration of artificial intelligence (AI) in organic farming has the potential to revolutionize sustainable agriculture practices. This paper explores the use of AI-powered solutions for sustainable organic farming. The study highlights the potential of AI in organic farming, including predictive analytics for pest and disease management, precision farming, and an integrated organic farming system. The review also emphasizes the importance of collaboration between the agricultural sector and AI developers to ensure that AI-driven solutions are accessible, affordable, and ethically implemented. The study concludes that by harnessing the power of AI, organic farmers can increase yields, reduce environmental impact, and meet the growing global demand for organic produce, paving the way for a more sustainable and food-secure future. Therefore, findings underscore the potential of AI to contribute to sustainable organic farming, marking a crucial step toward a technologically advanced and environmentally conscious agricultural future

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Enhancing AI based evaluation for smart cultivation and crop testing using agro-datasets

Cited by 11 publications

References 0 publications

The Application of Artificial Intelligence (Ai) and Internet of Things (Iot) Middleware in Agriculture

The Application of Artificial Intelligence (Ai) and Internet of Things (Iot) Middleware in Agriculture

Mesterséges intelligencia adatkészletek hatékony fordítása nyílt forrású technológiák segítségével

Smart Farming: Empowering Organic Agriculture with AI

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