Artificial Intelligence In Agriculture Industry

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The most popular applications of Artificial Intelligence in the Agriculture sector appears to fall
into three major categories. These are -

1) Agricultural Robots - Companies are developing and programming autonomous Robots to handle
    essential agricultural tasks such as - Harvesting crops at a higher volume and faster pace than
    human laborers.

2) Crop and soil monitoring - Companies are leveraging computer vision and deep- learning
     Algorithms to process Data captured by Drones and/or software - based technology to monitor
     crop and soil health.

3) Predictive analysis - Machine learning models are being developed to track and predict various
     environmental impacts on crop yield such as weather changes.

These applications are explained here -

 AGRICULTURAL ROBOTICS - BLUE RIVER TECHNOLOGY - WEED CONTROL
The ability to protect their crops from the weeds is a top priority for Farmers and an ongoing challenge as herbicide (a substance toxic to plants used to destroy unwanted vegetation) resistance becomes more commonplace. Blue River Technology has developed a Robot called 'See and
Spray' which reportedly leverages computer vision to monitor and precisely spray weeds on
cotton plants. Precision spraying can help prevent herbicide resistance. This technology eliminates 80% of volume of chemicals normally sprayed on crops and reduce herbicide expenditure by 90%.

HARVEST CROO ROBOTICS- CROP HARVESTING -
This Robot help Strawberry farmers pick and pack their crops. Robot can harvest 8 acres in a
single day and replace 30 human laborers.

CROP AND SOIL HEALTH MONITORING
Deforestation and degradation of soil quality remain significant threat to food security and have
a negative impact on economy. Berlin based Tech Startup PEAT, has developed a Deep learning
application 'Plantix' that reportedly identifies potential defects and nutrient deficiencies in soil.
The image recognition APP identifies possible defects through image captured by smartphone
cameras and provides soil restoration techniques, tips and other possible solutions.
There are various Robots which provides soil analysis services to farmers such as - Trace
Genomics, Skysquirrel Technologies Inc.

PREDICTIVE ANALYSIS

a)  aWhere Satellites    for Weather prediction and crop sustainability to detect diseases, pests
                                     and poor plant nutrition.
b) Farmshots Satellites                 -  Do  -

It is anticipated that Agriculture Industry will continue to see steady adoption of Artificial Intelligence and will continue to monitor this trend.



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