Remote sensing has numerous applications to get information about an object or any phenomenon without making any physical contact with the object, including photography, surveying, geology, forestry and many more.
Among them, we have compiled 10 common applications of remote sensing in the agricultural field:
1.Precision farming:Remote sensing has played a very vital role in precision agriculture. Precision agriculture has resulted in the cultivation of healthy crops that guarantees farmers optimum harvests over a given period of time.
2.Crop production forecasting:Remote sensing is used to forecast the expected crop production and yield over a given area and determine how much of the crop will be harvested under specific conditions.
Researchers can be able to predict the quantity of crop that will be produced in a given farmland over a given period of time.
3.Monitoring of droughts:Remote sensing technology is used to monitor the weather patterns including the drought patterns over a given area. The information can be used to predict the rainfall patterns of an area and also tell the time difference between the current rainfall and the next rainfall which helps to keep track of the drought.
4.Crop Identification:Remote sensing has also played an important role in crop identification especially in cases where the crop under observation is mysterious or shows some mysterious characteristics.
The data from the crop is collected and taken to the labs where various aspects of the crop including the crop culture are studied.
5.Crop condition assessment and stress detection:Remote sensing technology plays an important role in the assessment of the health condition of each crop and the extent to which the crop has withstood stress.
This data is then used to determine the quality of the crop.
6.Identification of planting and harvesting dates:Because of the predictive nature of the remote sensing technology, farmers can now use remote sensing to observe a variety of factors including the weather patterns and the soil types to predict the planting and harvesting seasons of each crop.
7.Identification of pests and disease infestation:Remote sensing technology also plays a significant role in the identification of pests in farmland and gives data on the right pests control mechanism to be used to get rid of the pests and diseases on the farm.
8.Crop intensification:Remote sensing can be used for crop intensification that includes collection of important crop data such as the cropping pattern, crop rotation needs and crop diversity over a given soil.
9.Water resources mapping:Remote sensing is instrumental in the mapping of water resources that can be used for agriculture over a given farmland. Through remote sensing, farmers can tell what water resources are available for use over a given land and whether the resources are adequate.
10.Soil moisture estimation:Soil moisture can be difficult to measure without the help of remote sensing technology. Remote sensing gives the soil moisture data and helps in determining the quantity of moisture in the soil and hence the type of crop that can be grown in the soil.
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