Precision Agriculture Masters Program - Educating Missouri Crop Producers About The Benefits Of Precision Agriculture Through On-Farm Research

2002 ◽  
Author(s):  
D. Kent Shannon ◽  
J. Glenn Davis ◽  
Kenneth A. Sudduth ◽  
William J. Wiebold
Keyword(s):  
Precision Agriculture ◽  
On Farm

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.

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.

The value of conducting on-farm field trials using precision agriculture technology: a theory and simulations

2020 ◽  
Vol 21 (5) ◽  
pp. 1027-1044
Author(s):  
David S. Bullock ◽  
Taro Mieno ◽  
Jaeseok Hwang
Keyword(s):  
Precision Agriculture ◽  
Field Trials ◽  
On Farm

scholarly journals Integrating Unmanned Aerial Systems Into the Crop Production System Through On-Farm Research

2018 ◽  
Vol 10 (7) ◽  
pp. 10
Author(s):  
Kevin Allan Adkins ◽  
Christen C. Bailey ◽  
Aspen E. Taylor
Keyword(s):  
Precision Agriculture ◽  
Crop Production ◽  
Management Practices ◽  
Unmanned Aircraft ◽  
Production Costs ◽  
Unmanned Aerial Systems ◽  
Sustainable Operation ◽  
Aerial Systems ◽  
On Farm ◽  
Reflectance Data

Precision agriculture strives to manage variations in the field in order to increase yield while adapting input factors to preserve resources and decrease production costs. Unmanned aerial systems (UAS) are advancing precision agriculture by allowing for nondestructive and convenient, as well as cost and time efficient mapping of spatial variation in fields with higher spatial resolution than previous methods. However, while there is much anticipation regarding the potential role for UAS in precision agriculture, their role still requires additional application-based testing. The objective of this work was to explore how growers best integrate the UAS product into their farm workflow. Two on-farm investigations were undertaken with vegetable growers for the duration of a growing season. Combinations of two unique unmanned aircraft (UA) platforms fitted with two different multispectral sensors were used to gather spectral reflectance data. The investigations found that the UAS product enabled the growers to optimize their field management practices, while overcoming a labor shortage, and create a more sustainable operation.

scholarly journals Site-specific Management for the Twenty-first Century

2000 ◽  
Vol 10 (3) ◽  
pp. 444-447 ◽  
Author(s):  
Pierre C. Robert
Keyword(s):  
Precision Agriculture ◽  
Cropping Systems ◽  
Agricultural System ◽  
Specialty Crops ◽  
Horticultural Crops ◽  
Rural Economic Development ◽  
Potential Benefits ◽  
Crop Condition ◽  
The Right ◽  
On Farm

A better awareness of soil and crop condition variability within fields brought the notion, in the early 1980s that variable management within fields by zones rather than whole fields would increase profitability by doing the right thing at the right place in the right way. At the same time, the microcomputer became available and made possible the acquisition, processing, and use of spatial field data as well as the development of a new kind of farm machinery with computerized controllers and sensors. Precision agriculture (PA) has been considered for most common cropping systems and some specialty crops, worldwide. It is particularly well adapted to high value crops such as many horticultural crops. PA is still in infancy and its adoption varies greatly but precision agriculture is the agricultural system of the future. It offers a variety of potential benefits in profitability, productivity, sustainability, crop quality, food safety, environmental protection, on-farm quality of life, and rural economic development.

scholarly journals Crop Row Detection through UAV Surveys to Optimize On-Farm Irrigation Management

2020 ◽  
Vol 12 (12) ◽  
pp. 1967
Author(s):  
Giulia Ronchetti ◽  
Alice Mayer ◽  
Arianna Facchi ◽  
Bianca Ortuani ◽  
Giovanna Sona
Keyword(s):  
Precision Agriculture ◽  
Irrigation Management ◽  
Added Value ◽  
Row Crops ◽  
Practical Applications ◽  
Water Users ◽  
Irrigated Crops ◽  
Crop Types ◽  
Efficient Water Use ◽  
On Farm

Climate change and competition among water users are increasingly leading to a reduction of water availability for irrigation; at the same time, traditionally non-irrigated crops require irrigation to achieve high quality standards. In the context of precision agriculture, particular attention is given to the optimization of on-farm irrigation management, based on the knowledge of within-field variability of crop and soil properties, to increase crop yield quality and ensure an efficient water use. Unmanned Aerial Vehicle (UAV) imagery is used in precision agriculture to monitor crop variability, but in the case of row-crops, image post-processing is required to separate crop rows from soil background and weeds. This study focuses on the crop row detection and extraction from images acquired through a UAV during the cropping season of 2018. Thresholding algorithms, classification algorithms, and Bayesian segmentation are tested and compared on three different crop types, namely grapevine, pear, and tomato, for analyzing the suitability of these methods with respect to the characteristics of each crop. The obtained results are promising, with overall accuracy greater than 90% and producer’s accuracy over 85% for the class “crop canopy”. The methods’ performances vary according to the crop types, input data, and parameters used. Some important outcomes can be pointed out from our study: NIR information does not give any particular added value, and RGB sensors should be preferred to identify crop rows; the presence of shadows in the inter-row distances may affect crop detection on vineyards. Finally, the best methodologies to be adopted for practical applications are discussed.

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.

Global trends in apps for agriculture

2020 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Julierme Zimmer Barbosa ◽  
Stephen A. Prior ◽  
Guilherme Quaresma Pedreira ◽  
Antonio Carlos Vargas Motta ◽  
Giovana Clarice Poggere ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Technical Assistance ◽  
Agricultural Sector ◽  
Free Access ◽  
Science Data ◽  
Global Trends ◽  
Pests And Diseases ◽  
On Farm ◽  
Google Play ◽  
Windows Phone

Although applications (apps) for mobile devices show increasing popularity in the agricultural sector, studies regarding their availability are still incipient. In the present study, a survey was conducted to assess global trends of app availability for agriculture. This survey was conducted in 2015 and 2018 in two app stores with free access (Google Play and Windows Phone); searches for the following keywords were included in the survey: agriculture, agri, and farming. In 2015 and 2018, these searches found 244 and 599 apps from 33 and 61 countries, respectively. Countries with the largest number of apps (i.e., USA, Brazil, and India) accounted for ~64% of all surveyed apps. However, diversity and availability of paid apps was greater in USA and Brazil compared to India. Although many apps were related to magazines and market information, numerous other apps were available on farm management, pests and diseases, precision agriculture, and technical assistance. Related apps that used photographic input and citizen science data were also found. Our study indicates that the global development of apps for agriculture is growing rapidly, with most serving informative purposes at no cost to users.

Translational learnings from Australia: How SPAA plays a role in increasing the adoption of precision agriculture

2017 ◽  
Vol 8 (2) ◽  
pp. 694-697 ◽  
Author(s):  
N. Dimos ◽  
R. Schaefer ◽  
E. Leonard ◽  
J. Koch
Keyword(s):  
Precision Agriculture ◽  
Agricultural Production ◽  
Production Systems ◽  
Sugar Industry ◽  
Independent Source ◽  
New Concepts ◽  
On Farm ◽  
Agricultural Production Systems

The Society of Precision Agriculture Australia Inc. (SPAA) is recognised as a leading, grower driven farming group in Australia. As an organisation it provides programs and services to its members and wider industry to promote the development and adoption of Precision Agriculture (PA) technologies as a means of enhancing the profitability and sustainability of agricultural production systems. This is achieved through publishing Australia’s only PA-dedicated magazine, delivering field days, seminars and conducting on-farm PA demonstrations and experiments. SPAA provides farmers with an independent source of advice on new concepts and equipment. The grains industry was the springboard for initial adoption, with winegrapes, horticulture and the sugar industry the focus sectors for further expansion. The purpose of this paper is to share the SPAA experience with a view to assisting the development of similar organisations in other countries

Sign in / Sign up

Export Citation Format

Share Document