Agriculture is a popular business activity which has been accepted since the most ancient periods and still it is accepted even in the modern one. The activity has remained the same, only the art of doing has been modified into a new innovative way. Due to the development of technology, there have been changes in the agricultural system. Thus we can say that eco-sustainable agriculture has been put into practice. The monitoring sensors have improved the agricultural productivity. Actually, sensors are used to control the crop activities by mapping the particular area using remote sensing devices. Remote sensors are applied by scientist to get accurate records on soil, crops, climatic and environmental condition.
Nowadays, many remote sensing devices have been used optimally as they provide accurate data and it is easy to investigate the desired information about the crops. The agricultural management practice is monitored using the sensing devices. The main aim of remote sense is to monitor the agricultural productivity in regional and global applications. Firstly this article will focus on the agriculture needs of regional and global context and the sensing technique application on that basis.
Remote sensing plays a vital role in the development of agriculture in terms of crop classification, crop health, and crop yield. Various supervised and unsupervised methods had been used to map the crop character with digital sensing data in the earlier period. In addition, remote sensing has revealed the advantageous outcomes.
Various techniques and processes are employed by the remote sense for mapping vegetation. The advancement of remote sensing has made easier for us to classify and characterize the vegetation growth. The vegetation mapping provides the related information regarding the distribution of vegetation including its temperature, soil type, drainage condition, growing season, moisture content, topographic aspect etc. The information is obtained from remote sensing, satellite; air photos helps to know the physical and chemical properties of vegetation. The satellite image of vegetation has made easier for scientist or farmers to know the quality of plants and trees of their native place. But some factors like moisture, brightness and greenness influence the quality of vegetation recorded on remote sensing or satellite. So these factors should be maintained while using sensing devices.
Precision farming is the recent satellite-based agricultural practice. It is the latest farming system that enhances the crop productivity. The use of remote sensing in agriculture has made researchers more convenient to determine the humidity, weather pattern, soil temperature, growth and other factors about the crops. It improves the crop diversity and also monitors the irrigation system. This precision farming system has helped farmers to know the exact time of agricultural inputs to grow more crops in the suitable environment. This remote sensing technique has been used to determine the following activities:
Thus using satellite imagery, the precision farm has benefitted the farmers in order to gain more agricultural productivity. They are able to harvest more food products at suitable time period with the information based on imagery. Therefore farmers could conserve the soil for the sustainable production of agriculture.
Using of remote sensing in agriculture has benefitted on following points:
In conclusion, we can say that remote sensing used in agriculture has a positive influence on agriculture technique. The approach of using this information represents a high quality and eco-friendly environment. Lastly, this technique has upgraded in both qualitative and quantitative production of agriculture.