Sustainable Automated Vertical Farming DOI

Prateek Barve,

Mukesh Dixit,

Sritama Roy

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Abstract This study offers a thorough strategy for automated vertical farming that is sustainable in response to the urgent problems traditional agricultural methods are currently facing. The primary objective design and implement real-time monitoring alert system which capable of optimizing growing conditions ensuring long-term viability operations. architecture revolves around integration sensor technology, automation, data analytics enable proactive management environmental parameters crucial plant growth. Specifically, sensors connected microcontroller capture on temperature, humidity, motion, light intensity, fire state, air quality, soil moisture. continuously monitored analyzed detect anomalies deviations from optimal conditions. Upon detecting abnormal such as low risks, moisture, or unstable rack conditions, triggers alerts via SMS using Twilio service. These sent some designated recipients, allowing timely interventions rectify situation prevent potential crop loss. proposed aims address key gaps areas improvement current practices. results benefits involve reduction energy costs water usage based analytic report custom farmer, reducing operational expenses trade it with one-time capital expense by means labor cut 40-60% (estimated) further help avoid skill issue concern labors. production process made more efficient optimized precise use natural resources in-turn makes improves yield quality. gets actuators act emergency instantly, therefore increasing reliability propose customization customer. By providing approach management, seeks enhance resource efficiency, overall productivity. Moreover, leveraging advanced techniques, insights into trends patterns, enabling informed decision-making adaptive responses. Overall, represents significant step towards realization farming. harnessing power analytics, scalable solution challenges facing modern agriculture. It can fully realize farming's resilient food future use.

Язык: Английский

Sustainable Automated Vertical Farming DOI

Prateek Barve,

Mukesh Dixit,

Sritama Roy

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Abstract This study offers a thorough strategy for automated vertical farming that is sustainable in response to the urgent problems traditional agricultural methods are currently facing. The primary objective design and implement real-time monitoring alert system which capable of optimizing growing conditions ensuring long-term viability operations. architecture revolves around integration sensor technology, automation, data analytics enable proactive management environmental parameters crucial plant growth. Specifically, sensors connected microcontroller capture on temperature, humidity, motion, light intensity, fire state, air quality, soil moisture. continuously monitored analyzed detect anomalies deviations from optimal conditions. Upon detecting abnormal such as low risks, moisture, or unstable rack conditions, triggers alerts via SMS using Twilio service. These sent some designated recipients, allowing timely interventions rectify situation prevent potential crop loss. proposed aims address key gaps areas improvement current practices. results benefits involve reduction energy costs water usage based analytic report custom farmer, reducing operational expenses trade it with one-time capital expense by means labor cut 40-60% (estimated) further help avoid skill issue concern labors. production process made more efficient optimized precise use natural resources in-turn makes improves yield quality. gets actuators act emergency instantly, therefore increasing reliability propose customization customer. By providing approach management, seeks enhance resource efficiency, overall productivity. Moreover, leveraging advanced techniques, insights into trends patterns, enabling informed decision-making adaptive responses. Overall, represents significant step towards realization farming. harnessing power analytics, scalable solution challenges facing modern agriculture. It can fully realize farming's resilient food future use.

Язык: Английский

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