Remote sensing in agriculture

Remote sensing is the study of obtaining the physical properties of a region without being there. It's measures emitted and reflected radiation caught ordinarily from the sensors on planes, satellites and drones. Remote sensing uses electromagnetic spectrum to image the land, ocean and atmosphere. There are two types of remote sensing- Active remote sensing and Passive remote sensing.

The sun gives an exceptionally advantageous source of energy for remote sensing. The sun's energy is either reflected, for what it's worth for noticeable frequencies or retained and afterward re-emmited, all things considered for thermal infrared frequencies. Remote sensing  systems which measure energy that is naturally available are called passive sensors. Passive sensors must be utilised to detect energy when the naturally occurring energy is available. For all reflected energy, this can possibly occur during when the sun is enlightening the Earth. There is no reflected energy accessible from the sun at night.

Active sensors, then again, give their own energy source for illumination. The sensor emits radiation which is guided towards the objective to be explored. The radiation reflected from the target is recognised and estimated by the sensor. The main advantage of active sensors  incorporate the capacity to obtain estimations whenever, paying little mind to the hour of day or season. Active sensors can be utilised for looking at the frequencies that are not adequately given by the sun. Some examples of active sensors are a laser flurosensor and a synthetic aperture radar(SAR).

Application of remote sensing in agriculture:

1. Crop creation anticipation.


2. Assessment of harvest harm and yield progress.


3. Cropping system analysis.


4. Crop identification.


5. Identification of planting and harvesting dates.


6. Soil dampness estimation.


7. Soil mapping.


8. Monitoring of dry seasons.


9. Identification of risky soils.


10. Determination of water substance of field crops.


11. Crop yield forecasting


12. Flood mapping and monitoring.

There are many significance use of remote sensing in agriculture. It opportune accessibility of harvest measurements for dynamic and arranging, also helps in yield development checking, soil status observing, gives regular reports with respect to total area under cultivation.

On the other side remote sensing have some inconvenience like satellite information is excessively costly. Also remotely detected information isn't readily accessible and is muddled to use. Satellite based remote sensing doesn't have adequate goals.

Some problems of remote sensing for Indian conditions arises due to little size of plots, assorted variety of harvests planted in a region, intercropping and mixed cropping rehearses, broad cloud cover during the stormy seasons.