Top 10 new Agricultural Techniques.
                     Top 10 new Agricultural 
Techniques
1. GPS/GNSS
 From virtually the moment agriculture gained access to 
position locating satellites, operators and manufacturers 
have found various ways to tie into these tools to make 
managing field work much easier and accurate. In North 
America and Europe, growers can turn on the tractor and 
get to work almost immediately.
Source: Google Images
2. Robotics
 With labor availability becoming a bigger concern within 
the commercial tree fruit industry, the interest in robotics 
is driving a wave of interest and urgency into robotics 
development. Growers have opted for labor-assist 
platforms to reduce the reliance on ladders and increase 
efficiencies
Source: Google Images
3. Internet of Things
 Connected components in agriculture could include field 
sensors (for logging real-time weather, soil moisture, and 
temperature data) and aerial/satellite imagery for field 
monitoring. Such device communications could also be 
used in dispatching programs, sales interaction tools, and 
other business management applications.
Source: Google Images
4. Sensors
 Wireless sensors have been used in precision agriculture 
and/to gather data on soil water availability, soil 
compaction, soil fertility, leaf temperature, leaf area index, 
plant water status, local climate data, insect-disease-weed 
infestation, and more. Perhaps the most advanced and 
diverse technologies to date are found in water 
management
Source: Google Images
5. Nitrogen Modeling
 As the market continues to move away from the single 
fertilizer application approach toward multiple in-season 
applications on an as-needed basis, nitrogen 
management solutions have evolved to help retailers 
make the best possible decisions about rates and timing 
to ensure the most efficient application is being made.
Source: Google Images
6. Irrigation control
 When it comes to employing technology that improves 
control and efficiency, irrigation is arguably the farthest 
along in the agriculture industry. Systems that serve up 
status reports on pivot performance, soil moisture 
sensing, weather, and other field data to mobile phones 
and computers are commonplace
Source: Google Images
7. Weather Modeling
 This system creates a platform for agriculture and 
expands into other modeling areas such as water use, 
soil properties, and crop growth. Grower is able to take 
all their soil readings remotely and is able to accomplish 
his harvest a lot more efficiently than ever before.
Source: Google Images
8. Standardization
 The call for compatibility across equipment 
manufacturers’ components, primarily through ISOBUS 
standards continues to go out. The Agricultural Industry 
Electronics Foundation now includes more than 170 
companies, associations, and organizations that are 
actively collaborating to make the standards work.
Source: Google Images
9. Machine learning
 Machine learning — the ability of a computer to 
accumulate knowledge about an action or a thing and 
begin to make decisions on its own would have broad 
applications in agriculture.
Source: Google Images
10. Mobile devices
 Most precision agriculture manufacturers that dabble in 
the mobile devices market have spent most of their time 
trying to expand the capabilities these products can offer 
to users. If you can’t get your technical data to work for 
the farmer within the first 20 minutes after he receives it, 
he’s probably never going to use it.
Source: Google Images