Next Article in Journal
A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data
Previous Article in Journal
Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region

Applications of Remote Sensing in Precision Agriculture: A Review

College of Agriculture and Human Sciences, Prairie View A&M University, Prairie View, TX 77446, USA
K. Banerjee Centre of Atmospheric & Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Prayagraj 211002, India
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(19), 3136;
Received: 5 August 2020 / Revised: 19 September 2020 / Accepted: 23 September 2020 / Published: 24 September 2020
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction of new farming techniques in the past century (e.g., during the Green Revolution) has helped agriculture keep pace with growing demands for food and other agricultural products. However, further increases in food demand, a growing population, and rising income levels are likely to put additional strain on natural resources. With growing recognition of the negative impacts of agriculture on the environment, new techniques and approaches should be able to meet future food demands while maintaining or reducing the environmental footprint of agriculture. Emerging technologies, such as geospatial technologies, Internet of Things (IoT), Big Data analysis, and artificial intelligence (AI), could be utilized to make informed management decisions aimed to increase crop production. Precision agriculture (PA) entails the application of a suite of such technologies to optimize agricultural inputs to increase agricultural production and reduce input losses. Use of remote sensing technologies for PA has increased rapidly during the past few decades. The unprecedented availability of high resolution (spatial, spectral and temporal) satellite images has promoted the use of remote sensing in many PA applications, including crop monitoring, irrigation management, nutrient application, disease and pest management, and yield prediction. In this paper, we provide an overview of remote sensing systems, techniques, and vegetation indices along with their recent (2015–2020) applications in PA. Remote-sensing-based PA technologies such as variable fertilizer rate application technology in Green Seeker and Crop Circle have already been incorporated in commercial agriculture. Use of unmanned aerial vehicles (UAVs) has increased tremendously during the last decade due to their cost-effectiveness and flexibility in obtaining the high-resolution (cm-scale) images needed for PA applications. At the same time, the availability of a large amount of satellite data has prompted researchers to explore advanced data storage and processing techniques such as cloud computing and machine learning. Given the complexity of image processing and the amount of technical knowledge and expertise needed, it is critical to explore and develop a simple yet reliable workflow for the real-time application of remote sensing in PA. Development of accurate yet easy to use, user-friendly systems is likely to result in broader adoption of remote sensing technologies in commercial and non-commercial PA applications. View Full-Text
Keywords: big data analysis; disease and pest management; nutrient management; satellite remote sensing; UAV; vegetation indices; water management big data analysis; disease and pest management; nutrient management; satellite remote sensing; UAV; vegetation indices; water management
Show Figures

Graphical abstract

MDPI and ACS Style

Sishodia, R.P.; Ray, R.L.; Singh, S.K. Applications of Remote Sensing in Precision Agriculture: A Review. Remote Sens. 2020, 12, 3136.

AMA Style

Sishodia RP, Ray RL, Singh SK. Applications of Remote Sensing in Precision Agriculture: A Review. Remote Sensing. 2020; 12(19):3136.

Chicago/Turabian Style

Sishodia, Rajendra P., Ram L. Ray, and Sudhir K. Singh. 2020. "Applications of Remote Sensing in Precision Agriculture: A Review" Remote Sensing 12, no. 19: 3136.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop