Remote Sensing In Agriculture
Remote sensing in agriculture has been used for a variety of applications. Agriculture is one of the most important land-use activities on Earth. It provides us with food, fuel, and fiber. It also impacts our climate, ecosystems, and other services that benefit our society. In order to maintain a healthy balance, agricultural practices should be balanced with environmental sustainability.
Remote sensing in agriculture can help farmers make better decisions regarding crop planting, water management, and other field activities. Farmers can use remote sensing to determine the best location for planting a crop, monitor weather patterns, and determine if a crop is damaged. They can also determine if a farm is infested by a pest or disease. Aside from these, they can use satellite images to map soil and plant characteristics. These sensors can record data on soil and plant properties such as pH level, moisture content, and organic matter.
The Best Remote Sensing In Agriculture
Remote sensing has helped increase the productivity of crops. RS has also contributed to the development of new farming techniques. Precision farming has especially benefited from the use of this technology. By using this technology, farmers can reduce the cost of cultivation and identify areas where conditions are unhealthy. Additionally, they can detect nutrient stresses and water stresses that affect the health of a crop.
The tropical Rainfall Measuring Mission (TRMM) is operated by the Japan Aerospace Exploration Agency and offers data on precipitation, soil, and landscape conditions. This information is essential in making crop management decisions. Also, there are crop models that incorporate RS data to estimate yield and monitor the growth of a crop.
Optical sensors are commonly used in agriculture. They can be aircraft-based or satellite-based. Various studies have incorporated digital image processing techniques to analyze the data. One of the most commonly used applications is soil mapping. This technique is useful to find the best soil for a particular crop, as well as to map the drainage system and flood zones.
Aerial photography has been used extensively for mapping vegetation classes. The high resolution of optical sensors has increased the number of bands for these images. Combined with SAR and hyperspectral imagery, the maps can be more accurate. Several studies have been performed to determine the growth stages of a crop, while aerial photography has been used for determining the heights of trees.
Satellite RS is also used to monitor the condition of a crop. It can provide an accurate synoptic estimation of various crop parameters, such as canopy indices and vegetative density. However, the use of RS in agriculture has greatly expanded over the years. Today, the application of RS to agriculture is not limited to special scientific research but is widely used in field agronomy, land use, and disaster management.
Agricultural research has also contributed to the development of crop models that incorporate RS data. Plant growth simulation models have been developed at the field scale to provide an understanding of plant growth, growth phases, and yield.
