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Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities

Department of Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH 43210, USA
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Remote Sens. 2020, 12(22), 3783; https://doi.org/10.3390/rs12223783
Received: 5 October 2020 / Revised: 5 November 2020 / Accepted: 11 November 2020 / Published: 19 November 2020
(This article belongs to the Special Issue Remote Sensing and IoT for Smart Learning Environments)
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early warning system, allowing the agricultural community to intervene early on to counter potential problems before they spread widely and negatively impact crop productivity. With the recent advancements in sensor technologies, data management and data analytics, currently, several RS options are available to the agricultural community. However, the agricultural sector is yet to implement RS technologies fully due to knowledge gaps on their sufficiency, appropriateness and techno-economic feasibilities. This study reviewed the literature between 2000 to 2019 that focused on the application of RS technologies in production agriculture, ranging from field preparation, planting, and in-season applications to harvesting, with the objective of contributing to the scientific understanding on the potential for RS technologies to support decision-making within different production stages. We found an increasing trend in the use of RS technologies in agricultural production over the past 20 years, with a sharp increase in applications of unmanned aerial systems (UASs) after 2015. The largest number of scientific papers related to UASs originated from Europe (34%), followed by the United States (20%) and China (11%). Most of the prior RS studies have focused on soil moisture and in-season crop health monitoring, and less in areas such as soil compaction, subsurface drainage, and crop grain quality monitoring. In summary, the literature highlighted that RS technologies can be used to support site-specific management decisions at various stages of crop production, helping to optimize crop production while addressing environmental quality, profitability, and sustainability. View Full-Text
Keywords: remote sensing; satellite; UAS; precision agriculture remote sensing; satellite; UAS; precision agriculture
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MDPI and ACS Style

Khanal, S.; KC, K.; Fulton, J.P.; Shearer, S.; Ozkan, E. Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities. Remote Sens. 2020, 12, 3783. https://doi.org/10.3390/rs12223783

AMA Style

Khanal S, KC K, Fulton JP, Shearer S, Ozkan E. Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities. Remote Sensing. 2020; 12(22):3783. https://doi.org/10.3390/rs12223783

Chicago/Turabian Style

Khanal, Sami, Kushal KC, John P. Fulton, Scott Shearer, and Erdal Ozkan. 2020. "Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities" Remote Sensing 12, no. 22: 3783. https://doi.org/10.3390/rs12223783

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