Livestock Farming
In that case, a smart farming technique allows farmers
very better to manage the needs of individual animals and helps to adjust their
nutrition. Thereby, it prevents disease and improving herd health. Major farm
owners use IoT applications which is useful to monitor the location, well being
and health of their cattle. With the help of these details, they determine sick
animals. Therefore they can be separated from the herd to prevent the spread of
diseases.
Smart Greenhouses
Traditional greenhouses can manage the environmental
parameters via manual intervention. It often results in less production, energy
loss and also labour cost. In fact, the IoT projects stats 2020 driven smart greenhouses
can monitor smartly as well as it controls the climate, deducts the need for
manual intervention. Several sensors can measure the environmental parameters
which according to the particular crop requirements. That data is stored in a
cloud-based platform for further processing and control with the minimum manual
intervention.
Agriculture Drones
To determine, agriculture is one of the important
verticals to integrate both ground-based and aerial drones. It is used for crop
health assessment, crop monitoring, spraying, irrigation, field analysis etc.
The drones can gather multispectral, thermal, and the visual imagery while
flying, the data they collect deliver the farmer along with insights into the
array of metrics such as plant health indices, yield prediction, measurement of
plant height, plant counting, field water pond mapping, reports, chlorophyll
measurement, weed pressure mapping etc.
Self-Driving Farm Vehicles
In general, an autonomous vehicle does not apply to
transportation. Rather, self-driving tractors provide the primary example of a
smart farming system. Where autonomous tractors helps the farmers are in
lowering labour costs. Because self-driving farm vehicles will continue
operating 24/7 and there is an increased efficiency. Therefore, autonomous farm
vehicles will tackle not only low production but labour shortage issues as
well.
Farm Management Systems
The farm productivity management systems will represent
the complex method of IoT products in agriculture. Usually, it consists of the
number of agriculture IoT predictions and sensors, and is installed on the premises.
As well as, the powerful dashboard with analytical capabilities and in-built
features. It provides remote farm monitoring capabilities, and it helps to
allow streamline most of the business operations—additionally, some prominent
opportunities such as vehicle tracking, storage management and logistics etc.
