Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 213 - 266

Published: Feb. 7, 2025

The use of drones in agriculture is increasingly important due to challenges like population growth, climate change, and water scarcity. Advances communication, remote sensing, IoT, wireless sensor networks, artificial intelligence image processing have expanded research this field. This study uses the systematic literature review method provide an overview current knowledge on drone agriculture. It identifies studies by country, studied crops, AI algorithms applications agricultural sector. Of 246 articles screened, 167 were fully reviewed, 93 included final analysis. Findings show are used for crop mapping, yield estimation, monitoring plant health, targeting crops fruits, vegetables, cereals, greenhouse cultivations. also researchers, highlighting potential need further address industry challenges.

Language: Английский

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AI-Powered Drones for Sustainable Agriculture and Precision Farming

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 69 - 98

Published: April 4, 2025

Agriculture constitutes the foundation of Indian economy, employing over 50% population and contributing approximately 17-18% to country's GDP. agriculture faces economic issues due fragmented land holdings, erratic weather, resource limitations. Advanced technologies, such drones utilizing machine learning (ML) artificial intelligence (AI) algorithms, can address certain by enabling efficient surveillance, allocation resources, timely actions, thereby enhancing optimising production reducing costs. The use AI-driven is transforming precision efficiency, particularly in crop yield forecasting. This chapter will elucidate how time transition from warfare agricultural applications took effect illustrate AI-enhanced drone technologies contribute sustainable agriculture. enhance India's sector bolstering food security subsequently increasing national GDP through higher productivity practices.

Language: Английский

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NFC Enabled Battery-less AI-Integrated Sensing Network for Smart PPE System

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(16), P. 26914 - 26925

Published: Aug. 15, 2024

Language: Английский

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Artificial Intelligence, Internet of Things, and Machine-Learning

Advances in environmental engineering and green technologies book series, Journal Year: 2023, Volume and Issue: unknown, P. 113 - 145

Published: June 9, 2023

Water scarcity has been escalating both in terms of frequency and severity, owing to climate change global warming. Furthermore, water is a vital source that at the core crucial sectors like agriculture. Yet, this labeled scarce, its distribution uneven globally. For aforementioned reasons, achieving rational use utmost importance. In framework, computational intelligence artificial (AI), internet things (IoT), machine-learning, gaining momentum for implementing smart irrigation precision Thus, chapter surveys selection recent studies, corroborating AI, IoT, machine-learning as promising approaches advance The also sheds light on notion virtual water, proposes strategies deal with scarcity, highlights essential components achieve effective irrigation, thereby switching toward an innovative model sustainable digital

Language: Английский

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Machine Learning for Smart Agriculture: A Comprehensive Survey

IEEE Transactions on Artificial Intelligence, Journal Year: 2023, Volume and Issue: 5(6), P. 2568 - 2588

Published: Dec. 20, 2023

As communication technologies and equipment evolve, smart assets become smarter. The agricultural industry is also evolving in line with the implementation of modern protocols, intelligent sensors, equipment. This evolution enabling large-scale production processes to operate independently, thus, securing food supply chain for an ever-growing population. Data processing such a system multiple heterogeneous sources requires proper management effective operations. Recognizing advantages Machine Learning(ML) performing data processing, researchers are investigating ML design architecture. aim this paper provide thorough analysis state-of-the-art agriculture, open challenges, guidelines development further enhanced agriculture systems. Specifically, we describe how used create systems supported by technology.

Language: Английский

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A Prototype Modeling of a Smart Agriculture Monitoring System using IOT Based Drones for Spraying Pesticides

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Due to the health complications arising from use of pesticides and insecticides, a considerable number farmers in agricultural sector are facing significant challenges. The conventional practice manually applying crop fields through traditional irrigation systems has adverse effects on health. An optimistic alternative this manual approach involves integration drones for pesticide application. This substitution not only lessens physical burden but also accelerates task completion, as can efficiently carry spray insecticides across entire farm. two indispensable processes crucial achieving optimal production include fertilizer application use. Farmers easily navigate user-friendly design application, enhancing their ability out tasks with efficiency. A quadcopter, commonly known drone, is employed purposes uniformly distribute field, thereby significantly reducing labor required by farmers. Through an Android app, farmer gains control over establishing seamless connection device via drone's Wi-Fi module. drone capable precisely navigating farmer's land, spraying area, regardless variety or field shape. Addressing need comprehensive model enhance yields, especially large areas diverse crops, seasons, influencing factors, formal drone-based smart system prototype presented study. developed utilizes Event-B methodology, its validity verified support RODIN tool. ensures robust reliable foundation implementation advanced system, taking into account various parameters that contribute successful efficient management.

Language: Английский

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Optimizing water usage through an automatic garden sprinkler system: Enhancing efficiency and sustainability in gardening

International Journal of ADVANCED AND APPLIED SCIENCES, Journal Year: 2024, Volume and Issue: 11(8), P. 187 - 197

Published: Aug. 1, 2024

This study investigates the design and operation of an automatic garden sprinkler system, focusing on need for a dependable, self-operating watering solution that conserves water supports night-time schedules. The research method included detailed evaluation system's performance over 30 days, analyzing data timing accuracy, distribution efficiency, user feedback. results show system works accurately, starting cycles within minutes set time efficiently distributing evenly across garden. findings suggest can help reduce waste, supporting global sustainability goals. Additionally, its flexibility ease use it could be popular with gardeners widely adopted. adds to conversation sustainable gardening provides insights into using advanced technology in traditional practices.

Language: Английский

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Artificial Intelligence in Agricultural Irrigation: An important revolution in agriculture in the future Artificial Intelligence in Agricultural Irrigation: An important revolution in agriculture in the future

Published: Nov. 26, 2024

Agricultural productivity has experienced a marked escalation over the years, attributable to intensification of agricultural practices, which have been significantly bolstered by incorporation mechanization and automation technologies. The advent Artificial Intelligence (AI) further catalyzed this advancement, with itsinte-gration into sector becoming increasingly sophisticat-ed profound. With rapid development Intelli-gence technology, its application in is be-coming profound, bringing revolutionary changes modern agriculture. Irrigation process water applying on soil order improve growth crops or fruit trees, revegetate degradedsoil, maintain landscapes areas where rains are insufficient irregular.(Gavali, M., Dhus, B, 2016)The AI technology like irrigation not only improved efficiency production but also contributed sustainable irrigation, critical component food production, yet it often inef- ficient wasteful. amalgamation within systems heralds paradigmatic shift manage-ment resources domain. This article delves pivotal function augmenting efficacy sustainability systems, particular emphasis cultivation decision support prognostic analytics, au-tonomous control frameworks.

Language: Английский

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Uso de drones en la agricultura de precisión

Published: Sept. 27, 2023

incentiva os autores a assinarem contratos com repositórios institucionais, fins exclusivos de divulgação da obra, desde que o devido reconhecimento autoria e edição sem qualquer finalidade comercial; 3. Todos e-book são open access, desta forma não comercializa em seu site, sites parceiros, plataformas ecommerce, ou outro meio virtual físico, portanto, está isenta repasses direitos autorais aos autores; 4. membros do conselho editorial doutores vinculados instituições ensino superior públicas, conforme

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