An Overview of Precision Agricultural Technologies for Crop Yield Enhancement and Environmental Sustainability

Farid, Hafiz Umar; Mustafa, Behzad; Khan, Zahid Mahmood; Anjum, Muhamad Naveed; Ahmad, Ijaz; Mubeen, Muhammad; Shahzad, Huzaifa

doi:10.1007/978-3-031-26692-8_14

Cited by 2 publications

(1 citation statement)

References 58 publications

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“…Another study claimed that GPS and GIS technologies, when combined with other digital tools, play a crucial role in monitoring and optimizing agricultural practices, facilitating precision farming and sustainable food production (Ghosh and Kumpatla, 2022). The utilization of precision agriculture technologies, such as GPS, GIS, remote sensing, and active canopy crop sensors, including sensor-based N optimization algorithms, can optimize crop yields with minimal input usage, making them valuable tools for maximizing profitability and sustainability in developing countries (Farid et al, 2023). The use of remote sensors in precision agriculture involves both passive and active sensors.…”

Section: Sensing Technologiesmentioning

confidence: 99%

Precision Agriculture: Reviewing the Advancements, Technologies, and Applications in Precision Agriculture for Improved Crop Productivity and Resource Management

Sharma

2023

Review.food.agr.

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Precision agriculture is a rapidly advancing field that combines advanced technologies and data analytics to improve crop productivity and resource management. This article reviews the advancements, technologies, and applications in precision agriculture. It explores the role of sensing technologies, such as remote sensing, ground-based sensors, and GPS/GIS applications, in data collection and analysis for informed decision-making. The article also examines the impact of variable rate technologies, including variable rate seeding, nutrient application, and irrigation, on optimizing input usage and improving crop performance. Furthermore, it discusses the integration of precision crop management techniques, such as remote sensing, artificial intelligence, and the Internet of Things (IoT), in enhancing farming practices. While precision agriculture offers significant benefits, challenges related to cost, accessibility, data management, and education need to be addressed. It is crucial to overcome these challenges to fully harness the potential of precision agriculture for sustainable and efficient food production. By acknowledging and addressing these challenges, farmers and stakeholders can work towards the widespread adoption of precision agriculture, leading to improved crop productivity, resource management, and environmental sustainability.

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Section: Sensing Technologiesmentioning

confidence: 99%

Precision Agriculture: Reviewing the Advancements, Technologies, and Applications in Precision Agriculture for Improved Crop Productivity and Resource Management

Sharma

2023

Review.food.agr.

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Image Processing Applications in Agriculture With the Help of AI

Verma,

Kishor

2024

Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0

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Agriculture has significant challenges in the 21st century, which is why cutting-edge technologies like artificial intelligence (AI) and image processing are being employed to alter current farming operations. The primary study concern is the increased availability of visual data from a variety of sources, such as drones, satellites, and ground-based imaging equipment, which give critical information on crop and soil health as well as animal monitoring. The authors look at how AI algorithms can analyze this rich data and detect illnesses, pests, and nutritional deficits early on to help precision agriculture and reduce chemical use. In addition, they explore how image processing is used in automated irrigation management, where artificial intelligence (AI) uses meteorological data and satellite photos to optimize water use and protect resources. They also explore mechanized harvesting with AI-controlled robots that not only improve efficiency but also increase productivity.

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An Overview of Precision Agricultural Technologies for Crop Yield Enhancement and Environmental Sustainability

Cited by 2 publications

References 58 publications

Precision Agriculture: Reviewing the Advancements, Technologies, and Applications in Precision Agriculture for Improved Crop Productivity and Resource Management

Precision Agriculture: Reviewing the Advancements, Technologies, and Applications in Precision Agriculture for Improved Crop Productivity and Resource Management

Image Processing Applications in Agriculture With the Help of AI

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