Integration of Mechatronics, Geospatial Information Technology, and Remote Sensing in Agriculture and Environmental Stewardship

2006 ◽  
Author(s):  
Abhijit Nagchaudhuri ◽  
Madhumi Mitra ◽  
Carolyn Brooks ◽  
Tracie J. Earle ◽  
Gabriel Ladd ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Technology ◽  
Precision Agriculture ◽  
Environmental Data ◽  
Environmental Stewardship ◽  
Advanced Technology ◽  
Agricultural Practice ◽  
Eastern Shore ◽  
Geospatial Information ◽  
Aerial Vehicle

University of Maryland Eastern Shore (UMES) is located in the eastern shore region of Delmarva Peninsula. Rural environment of the region and the proximity to Chesapeake Bay makes agricultural needs and environmental concerns some of the key issues in the area. Precision Agriculture integrates advanced mechatronics, geoinformatics, and remote sensing to address these issues in an effective manner. This paper will highlight ongoing efforts to develop the infrastructure for this advanced technology driven agricultural practice at UMES that has significant intersection with broad umbrella of the field of "Mechatronics". Particular emphasis will be on integration of yield monitor and a GPS unit with the existing UMES combine/mechanical harvester; remote sensing from UAV (Unmanned Aerial Vehicle), RAV (Remote Controlled Aerial Vehicle), and manned airplane equipped with camera systems; advanced technologies for sensing and monitoring, datalogging, and wireless transmission of environmental data; geospatial information technology; future plans involving variable rate application of nutrients and fertilizers. The paper will also describe aspects of three ongoing multidisciplinary projects titled (i) Environmentally Conscious Precision Agriculture (ECPA); (ii) Airborne Science and Technology Institute (ASTI) and (iii) Aerial Imaging and Remote Sensing for Precision Agriculture and Environmental Stewardship (AIRSPACES) that have contributed significantly in advancing the broad project goals that are not only consistent with the economic necessities of the region but also the land grant mission of UMES.

Precision Agriculture

2021 ◽  
pp. 23-45 ◽  
Author(s):  
Waleed Fouad Abobatta
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Information Technology ◽  
Social Interaction ◽  
Precision Agriculture ◽  
Geographical Information Systems ◽  
Advanced Technology ◽  
Geographical Information ◽  
Farm Size ◽  
World Population

Precision agriculture is a management system that aims to reduce inputs like seeds, water, and energy; protect the environment; and maximize profitability. Precision agriculture uses advanced technology like positioning technology, geographical information systems, satellite navigation, and remote sensing. There are different factors affect the adoption of precision agriculture like farm size, legal affairs, and social interaction. Under climate change and increases in world population, adoption of precision agriculture could assist farmers to face various challenges to achieve ideal production and maximizing profitability. Information, technology, and management are considered the backbone of the precision agriculture system, and combining these elements reduces inputs and maximizes productivity. Different threats attacked precision agriculture including threats to confidentiality, threats to integrity, threats to availability, and crowding of the spectrum signal. This chapter explains the different roles of precision agriculture in developing agricultural production.

Overview of Remote Sensing Efforts at University of Maryland Eastern Shore

2019 ◽  
Author(s):  
Abhijit Nagchaudhuri ◽  
Travis Ford ◽  
Christopher Hartman
Keyword(s):  
Remote Sensing ◽  
Undergraduate Students ◽  
Precision Agriculture ◽  
Engineering Students ◽  
Earth Science ◽  
Eastern Shore ◽  
University Of Maryland ◽  
Food And Agriculture ◽  
Aerial Imaging ◽  
Smart Farming

Abstract Remote sensing and aerial imaging efforts at University of Maryland Eastern Shore (UMES) have been ongoing for over a decade. It was initiated with the UMESAIR (Undergraduate Multidisciplinary Earth Science Airborne Instrumentation Research) project in early part of the century as an exploratory experiential learning project as means to foster collaboration and provide exposure to science and engineering students to scientists and engineers at NASA’s Wallops Flight Facility which is within 50 miles of campus. Subsequently, with significant support from USDA’s National Institute of Food and Agriculture (NIFA) the remote sensing endeavors have been integrated with the smart farming and precision agriculture efforts closely aligned with the land grant mission of UMES and the regional emphasis in the Delmarva Peninsula. Maryland Space Grant Consortium (MDSGC) have also supported a synergistic project titled Aerial Imaging and Remote Sensing for Precision Agriculture and Environmental Stewardship (AIRSPACES) on an annual basis which has allowed continued involvement of multidisciplinary undergraduate students from the STEM fields to remain involved with the efforts.

scholarly journals UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops

2020 ◽  
Vol 12 (23) ◽  
pp. 3873
Author(s):  
Francisco Javier Mesas-Carrascosa
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Management ◽  
Small Sample ◽  
Special Issue ◽  
Sensor Applications ◽  
Aerial Vehicle ◽  
Continue Research ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

The advances in Unmanned Aerial Vehicle (UAV) platforms and on-board sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultra-high spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing in agriculture. This Special Issue of Remote Sensing includes different applications of UAV remote sensing for crop management, covering RGB, multispectral, hyperspectral and LIght Detection and Ranging (LiDAR) sensor applications on-board (UAVs). The papers reveal innovative techniques involving image analysis and cloud points. It should, however, be emphasized that this Special Issue is a small sample of UAV applications in agriculture and that there is much more to investigate.

scholarly journals A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

2021 ◽  
Vol 13 (6) ◽  
pp. 1221
Author(s):  
Haidong Zhang ◽  
Lingqing Wang ◽  
Ting Tian ◽  
Jianghai Yin
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Precision Agriculture ◽  
Spatial Information ◽  
Remote Sensing Data ◽  
Current Application ◽  
Rapid Acquisition ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
Future Work

Precision agriculture relies on the rapid acquisition and analysis of agricultural information. An emerging method of agricultural monitoring is unmanned aerial vehicle low-altitude remote sensing (UAV-LARS), which possesses significant advantages of simple construction, strong mobility, and high spatial-temporal resolution with synchronously obtained image and spatial information. UAV-LARS could provide a high degree of overlap between X and Y during key crop growth periods that is currently lacking in satellite and remote sensing data. Simultaneously, UAV-LARS overcomes the limitations such as small scope of ground platform monitoring. Overall, UAV-LARS has demonstrated great potential as a tool for monitoring agriculture at fine- and regional-scales. Here, we systematically summarize the history and current application of UAV-LARS in Chinese agriculture. Specifically, we outline the technical characteristics and sensor payload of the available types of unmanned aerial vehicles and discuss their advantages and limitations. Finally, we provide suggestions for overcoming current limitations of UAV-LARS and directions for future work.

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

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