A Review: The Role of Remote Sensing in Precision Agriculture

By Shohreh Liaghat, Siva K. Balasundram. 2010

270 citations recorded by the source corpus.

Precision agriculture is an emerging farm management strategy that is changing the way people farm. At present, there is an increasing commitment to reduce reliance on excessive chemical inputs in agriculture. Numerous technologies have been applied to make agricultural products safer and to lower their adverse impacts on the environment, a goal that is consistent with sustainable agriculture. Precision agriculture has emerged as a valuable component of the framework to achieve this goal. This review highlighted on remote sensing technology and describes how it can be used as an effective tool in precision agriculture.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/1f407ba997265fdd0d72432dcf8b5d39ad5f0540

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Citations in the corpus

Deep learning in agriculture: A survey (2018, background): “Images constitute, in many cases, a complete picture of the agricultural environments and could address a variety of challenges (Liaghat & Balasundram, 2010), (Ozdogan, Yang, Allez, & Cervantes, 2010).”
Sentinel 2-Based Nitrogen VRT Fertilization in Wheat: Comparison between Traditional and Simple Precision Practices (2019, unknown): “PA is based on innovative system approaches that use a combination of various technologies such as Geographic Information System (GIS), Global Navigation Satellite System (GNSS), computer modeling, Remote Sensing (RS), variable rate technology (VRT), yield mapping and advanced information processing”
Big Data for Remote Sensing: Challenges and Opportunities (2016, background): “In precision agriculture, the role of remote sensing data becomes more and more important in terms of sustainable agriculture, including food security [8], or assessing crop condition and yield forecasting [7].”
A review on the practice of big data analysis in agriculture (2017, background): “…framework, socioeconomics, business processes, stakeholders’ network) or focus on particular sub-domains such as remote sensing (Chi, et al., 2016), (Liaghat & Balasundram, 2010), (Teke, et al., 2013), (Ozdogan, et al., 2010), (Karmas, et al., 2014) and geospatial analysis (Karmas, et al., 2016).”