Crop Sensing in Precision Agriculture

Sun, Hong; Li, Minzan; Zhang, Qin

doi:10.1007/978-3-030-70432-2_8

Cited by 1 publication

(1 citation statement)

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“…The use of crop health sensors facilitates effective early detection of stress factors, nutrient deficiencies, and diseases, enabling rapid intervention and improved yields. These sensors assess crop vitality through the analysis of indicators such as leaf chlorophyll content, vegetation indices, and canopy temperature, most often using techniques such as the Normalized Difference Vegetation Index (NDVI) [ 77 , 78 ].…”

Section: Types Of Smart Sensors In Precision Agriculturementioning

confidence: 99%

Smart Sensors and Smart Data for Precision Agriculture: A Review

Soussi,

Zero,

Sacile

et al. 2024

Sensors

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Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus is on the integration of smart sensors, coupled with technologies such as the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI). This analysis is set in the context of optimizing crop management, using resources wisely, and promoting sustainability in the agricultural sector. This review aims to provide an in-depth understanding of emerging trends and key developments in the field of precision agriculture. By highlighting the benefits of integrating smart sensors and innovative technologies, it aspires to enlighten farming practitioners, researchers, and policymakers on best practices, current challenges, and prospects. It aims to foster a transition towards more sustainable, efficient, and intelligent farming practices while encouraging the continued adoption and adaptation of new technologies.

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Section: Types Of Smart Sensors In Precision Agriculturementioning

confidence: 99%