scholarly journals Precision Agriculture GIS Technologies for Mississippi, 1st. Edition

2019 ◽  
Author(s):  
Amelia A.A. Fox
Keyword(s):  
Precision Agriculture ◽  
Data Driven ◽  
Gis Technologies ◽  
Proper Management ◽  
Farm Efficiency ◽  
On Farm

Precision agriculture is meant to improve on-farm efficiency in hopes of ultimately increasing profitability while also protecting the environment. However, this difficult process almost always includes the proper management and interpretation of data. Therefore, it is imperative that those individuals involved in making such decisions are educated on these processes. In a data-driven world, this textbook is a great resource for those wanting to learn how to utilize their data in hopes of making better informed on-farm decisions.

Introduction to Precision Agriculture

2021 ◽  
pp. 1-22
Author(s):  
Akalpita Tendulkar
Keyword(s):  
Precision Agriculture ◽  
Fertilizer Application ◽  
Farm Management ◽  
Global Positioning ◽  
Soil Variation ◽  
On Farm ◽  
Field Variability ◽  
Global Population ◽  
The Internet Of Things ◽  
Yield Monitoring

The global population is increasing at a tremendous speed; thus, the demand for safe and secure food to meet this population is in demand. Therefore, traditional farming methods are insufficient to meet this demand; thus, the next revolution in agriculture is required, which is Precision Agriculture (PA), the Fourth Agriculture Revolution. PA is a technology where the concept of farm management is based on observation, measuring, and responding to inter- and intra-field variability in crops. The technologies used for performing precision agriculture are mapping, global positioning system (GPS), yield monitoring and mapping, grid soil sampling application, variable-rate fertilizer application, remote sensing, geographic information systems (GIS), quantifying on farm variability, soil variation, variability of soil water content, time and space scales, robots, drones, satellite imagery, the internet of things, smartphone, and machine learning. Hence, the current chapter will be emphasizing the overview, concepts, history, world interest, benefits, disadvantages, and precision farming needs.

scholarly journals Multi-Spatial Resolution Satellite and sUAS Imagery for Precision Agriculture on Smallholder Farms in Malawi

2020 ◽  
Vol 86 (2) ◽  
pp. 107-119 ◽  
Author(s):  
Brad G. Peter ◽  
Joseph P. Messina ◽  
Jon W. Carroll ◽  
Junjun Zhi ◽  
Vimbayi Chimonyo ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Precision Agriculture ◽  
Strongly Correlated ◽  
Multispectral Images ◽  
Green Band ◽  
Smallholder Farms ◽  
On Farm ◽  
Linear Regressions ◽  
Crop Health ◽  
Sentinel 2

A collection of spectral indices, derived from a range of remote sensing imagery spatial resolutions, are compared to on-farm measurements of maize chlorophyll content and yield at two trial farms in central Malawi to evaluate what spatial resolutions are most effective for relating multispectral images with crop status. Single and multiple linear regressions were tested for spatial resolutions ranging from 7 cm to 20 m using a small unmanned aerial system (<small>sUAS</small>) and satellite imagery from Planet, <small>SPOT</small> 6, Pléiades, and Sentinel-2. Results suggest that imagery with spatial resolutions nearer the maize plant scale (i.e., 14–27 cm) are most effective for relating spectral signals with crop health on smallholder farms in Malawi. Consistent with other studies, green-band indices were more strongly correlated with maize chlorophyll content and yield than conventional red-band indices, and multivariable models often outperformed single variable models.

Data Driven Analysis of Locomotion for a Class of Articulated Mobile Robots

2021 ◽  
pp. 1-15
Author(s):  
Luca Carbonari ◽  
Andrea Botta ◽  
Paride Cavallone ◽  
Luigi Tagliavini ◽  
Giuseppe Quaglia
Keyword(s):  
Mobile Robots ◽  
Dynamic Model ◽  
Precision Agriculture ◽  
Autonomous Vehicles ◽  
Industrial Applications ◽  
Data Driven ◽  
Analysis Tool ◽  
Recent Past ◽  
Personal Assistance ◽  
Articulated Structures

Abstract In the recent past, the use of autonomous vehicles is becoming of relevant interest in several fields of application. Personal assistance, precision agriculture, and rescue are just few examples alongside the more common industrial applications. In many cases, the use of articulated structures is preferred to single chassis robots for their peculiar modularity. Moreover, they can be easily provided with locomotion units particularly suitable to overpass obstacles and to move on uneven grounds. Such vehicles are often built as an active front module and a rear one that is pulled passively or that can contribute to the vehicle traction when required. Understanding whether this contribution is convenient or not, it is the main matter of this paper. Two different mobile robots of different scale and purpose are taken into consideration. A dynamic model is presented and experimentally validated to be used as an analysis tool. At last, a simple yet effective actuation law is tested to evaluate the whether the contribution of the back module is beneficial or not to the whole machine manoeuvrability.

The impacts of regulated notions of quality on farm efficiency: A DEA application

2005 ◽  
Vol 161 (2) ◽  
pp. 416-431 ◽  
Author(s):  
Efthalia Dimara ◽  
Christos J. Pantzios ◽  
Dimitris Skuras ◽  
Kostas Tsekouras
Keyword(s):  
Farm Efficiency ◽  
On Farm

Frontiers and perspectives on research strategies in grassland technology

2014 ◽  
Vol 65 (6) ◽  
pp. 508 ◽  
Author(s):  
J. Schellberg ◽  
E. Verbruggen
Keyword(s):  
Precision Agriculture ◽  
New Technologies ◽  
Arable Land ◽  
Successful Implementation ◽  
Research Strategies ◽  
Climatic Regions ◽  
Engineering Sciences ◽  
Wide Range ◽  
Recent Developments ◽  
On Farm

Grassland scientists and farmers are increasingly faced with emerging new technologies and information systems that have been primarily developed in engineering sciences, in particular, precision agriculture, remote sensing, geographic information and biotechnology. Judgment upon whether the implementation of any of these technologies may be beneficial in economic and ecological respects is challenging, especially to those who have to make on-farm decisions. New technologies have been applied on grassland only partially and with some delay compared with arable land. However, as we will show here, there is scope for successful implementation of new technologies in various climatic regions and for a wide range of applications. The paper presents the most important recent developments of new technologies in agriculture that have scope for application in grasslands. It defines the relevant terms and processes, provides examples of successful implementation, and discusses future directions and research needs.

scholarly journals Application of GIS Technologies and Aerial Photography for Geoinformation Mapping and Modelling of Relief of Agroland Landscapes

2020 ◽  
Vol 34 ◽  
pp. 82-95
Author(s):  
S. V. Pashkov ◽  
◽  
G. Z. Mazhitova ◽  
Keyword(s):  
Precision Agriculture ◽  
Aerial Photography ◽  
Crop Production ◽  
Large Scale ◽  
Local Level ◽  
Field Studies ◽  
Aerial Photographs ◽  
Visible Range ◽  
Gis Technologies ◽  
Gis Environment

The article is devoted to one of the topical applied areas of agrarian landscape research – geoinformation mapping, the development of maps and models of the topography of agricultural areas. The authors demonstrate results of works on large-scale geoinformation mapping and modeling of the topography of the oldest region of bogharic agriculture of Kazakhstan – North Kazakhstan region using methods and materials of remote sensing data and GIS technologies. The main source material in the study was a series of aerial photographs obtained from an unmanned aerial vehicle (UAV). The site of photographing was carried out by GEOSCAN-Kazakhstan LLP with using the Geoscan-201M Agro/Geodesy aerial photography complex. Characteristics of photographing: height – 280 m, visible range – 5 cm/pixel, multispectral – 13 cm/pixel. Geoinformation data on the nature of the relief were obtained during field studies in 2018-2020. Studies were carried out at the local level on the example of agricultural area located in the north of the region within the forest and steppe arable small-circuit agrarian landscape. Based on the results of the study, an electronic vector basis and specialized attribute data of the key area in the GIS environment, a digital relief model were prepared, spatial analysis and modeling of the geomorphological device of the arable surface were performed. The importance of the work is given by a significant agrogenic transformation of the relief of the definite locality during the almost 270-year history of agriculture. A series of maps of the main characteristics and morphometric indicators of the relief, significant from the point of view of crop production intensification and the development of accurate (precision) agriculture of the region, has been worked out. As a result of the study, the methodology of large-scale geoinformation mapping and modeling of the terrain of agrolandscapes in the GIS environment based on aerial photographs from UAVs was developed and tested. The algorithm of work has been compiled, starting from field studies, completing with the development of thematic maps and morphometric analysis of the relief and nature of the surface structure of the studied area.

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