Top 5 Trends of Precision Agriculture Technology in 2021 – Analytics Insight

Science & Technology

Data science has gained so much importance in recent times
Blockchain has steadily become a buzzword and has played an
Businesses have experienced faster target achievements after caling With small
    Join Our Telegram Channel for More Insights.  Join
    Join Our Telegram Channel for More Insights.  Join
    Join Our Telegram Channel for More Insights.  Join
    Join Our Telegram Channel for More Insights.  Join
It Satellite farming or site-specific crop management (SSCM) is a farming management concept based on observing, measuring, and responding to inter and intra-field variability in crops. The goal of precision agriculture research is to define a decision support system (DSS) for whole-farm management with the goal of optimizing returns on inputs while preserving resources.
The practice of precision agriculture has been enabled by the advent of GPS and GNSS. The farmer’s and/or researcher’s ability to locate their precise position in a field allows for the creation of maps of the spatial variability of as many variables as can be measured (e.g., crop yield, terrain features/topography, organic matter content, moisture levels, nitrogen levels, pH, EC, Mg, K, and others). Similar data is collected by sensor arrays mounted on GPS-equipped combine harvesters. These arrays consist of real-time sensors that measure everything from chlorophyll levels to plant water status, along with multispectral imagery. This data is used in conjunction with satellite imagery by variable rate technology (VRT) including seeders, sprayers, etc. to optimally distribute resources. However, recent technological advances have enabled the use of real-time sensors directly in the soil, which can wirelessly transmit data without the need for human presence.
 
Smart technology, such as precision sprayers, also plays a huge role. Once farmers know where pesticides are needed, they can program the sprayer to cover those areas rather than the entire field—increasing profits while also protecting the environment.
 
Integrating drone and satellite data as well as ground inputs is the next big step that will advance precision agriculture.
 
Precision Agriculture technology can also help the farmers predict the weather so that it could help in harvesting and cropping.
 
Equipment used on farms will continue to become smaller and start to replace people, Love said. He sees fleets of machines handling planting and other field work, leading to greater efficiencies.
 
Sensors and robots, both on the ground and in the air, will be more specialized, Colby said. Farmers and agronomists will be able to collect very specialized data, translating into better information, improved efficiencies, and cost savings.
 

 
Join Our Telegram Channel for More Insights.  Join Now
IIM.
Silicon Valley needs a breath of fresh Maine air.
Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

Teradata also named a Cloud Database Management Leader in the
Check out ManageEngine’s top five predictions in the IT management
Lenovo announces the expansion of the Lenovo ThinkEdge portfolio with
WDC
Intelligent
Middle East

Reach Us

 
Get AI newsletter delivered to your inbox, and more info about our products and services
© 2021 Stravium Intelligence LLP. All Rights Reserved.

source