Remote sensing is demonstrated by several elements which involve the graphics. The process of remote sensing is consists of the concentrated incidents and the radiation of the queries. It also complies with the non-graphic oriented energy produced.
This handout will let you know the entire understanding of the remote sensing projects in Agriculture and its environment!!
In this emerging technical world, we need to survive with the help of agriculture. Agriculture is playing a dominant role in the survival of human beings. This is the primary sector in the world. For an effective agricultural environment, we need some kind of tool to analyze the factors and challenges involved in it like the moisture level of the soil. The right plantations of the crops will result in remote sensing. The plotting of the water resources in farmland will be discovered with the help of remote sensing projects in agriculture. The seven elements are explained for a better understanding.
What are the elements of remote sensing?
- Communication with the target
- It is all about the communication with the target following the incident radiation in respect of the produced energy presented in the environment
- Investigation of the clarity
- To explore the concentrated target we need to analyze the refined image
- Radiance and the Energy Source
- It is the primary thing considered in remote sensing for rendering the electromagnetic energy to the concentrated target
- Communication, Response, and Handling
- The transmission of the logged sensors are subject to the picture in the form of hard or soft copy
- Troposphere and the Radiation
- When communicating with the target from the source prominently it is subject to the atmosphere also
- Tracking of the energy by the sensor
- The sensor will record the electromagnetic radiations and energies produced by the target
The above-mentioned essential elements are presented in the remote sensing tool in real-time. Usually, every research in any technology needs the expert’s guidance to accomplish the predefined objectives and the goals. For this assistance, we are the company full of filtered knowledge experts for the research and development.
“For any queries and assistance to your projects and researches feel free to approach us”
In this regard, we will have healthy discussions on the overview of remote sensing in detail.
Overview of Remote Sensing
Remote sensing in the sense it is the tool that observes and discovers the living and non-living creatures by assessing the radiations which are exposed by them. Some significant cameras are there to capture the images automatically which will be very helpful to the research fellows to sense the pictures of the natural resources like mountains, valleys, and planets so on. The cameras in the satellites are capable of taking captures of the earth’s surface in real-time. The observation by the satellites with the help of cameras in the ocean will support to create the temperature changes. Sonar System has capable of capturing the deep ocean criteria remote sensing projects in agriculture.
What is meant by Remote Sensing in Agriculture?
- The farmers can interfere with their crops without the physical interference is known as remote sensing in agriculture
- The condition of the breeds can be determined by their appearance in regards to the Color and texture of the plants
As of now, we had seen about remote sensing and the overview of remote sensing in agriculture environment. In this regard knowing about the working module of remote sensing is very important. So let us have an understanding.
How Does Remote Sensing Work?
- Passive systems that deals with the electromagnetic energy which is mirrored by the breeds are the general type of remote sensing system that is oriented with the agriculture
- The passive sensors can be fixed handy aircraft are unmanned aircraft on farm fields
- Passive systems are centred by the Sun as it source of energy
Process Remote Sensing Projects in Agriculture
- Electromagnetic energies are produced by the Sun
- The leaves are transmitted by the electromagnetic energies that are produced by the Sun
- The mirrored energy will be captured with the help of sensors deployed in the satellites
- Furthermore, the information is transmitted to the base level for analysis and the projection of the data on the field maps
So far, we have seen the working modules of the remote sensing process evolve. We hope that you will have a clear understanding of the above-mentioned. Knowing the satellites that are used in remote sensing is very important in this regard we will discuss it in brief.
Remote sensing and its satellites
- NMP EO-1 (ALI) Spatial Resolution and Spectral Bands
- 10m (PAN)
- 30m (VNIR, SWIR)
- PAN & 9XS (VNIR, SWIR)
- Terra (Aster) Spatial Resolution and Spectral Bands
- 30m (SWIR)
- 15m (SWIR)
- 90m (TIR)
- 14XS (VNIR, TIR, and SWIR)
- Terra/Aqua (MODIS) Spatial Resolution and Spectral Bands
- 250-1000 m
- 36 bands (VIS-TIR)
- SPOT-5 (HRG, HRS, and VEGETATION) Spatial Resolution and Spectral Bands
- 5m (PAN), 10m (MS), PAN + 4 XS (VNIR/SWIR)
- High resolution (10m , PAN)
- 1.15 Km, 3 XS (VNIR/SWIR)
- Radarsat-2 (SAR) Spatial Resolution and Spectral Bands
- C band 5.405GHz
- HH, HV, VH, VV separation
- Multi imaging modes
- Landsat-7 (ETM+) Spatial Resolution and Spectral Bands
- 15m (PAN)
- 30m (VIS-SWIR)
- 60m (TIR)
- PAN & 8XS (VIS-TIR)
- Envisat (ASAR & MERIS) Spatial Resolution and Spectral Bands
- Multi imaging modes (SAR)
- Multi polarization
- C band
These are the satellites used in remote sensing in wide. Our researchers have mentioned to you the pinch of information regarding remote sensing. As we are having filtered experts in technology, the deep and best perspectives on the researches exist.
For any assistance in researches reach us and have an interaction with our experts and developers for the eminent results of your research. Now we will a have small discussion on the application of remote sensing projects in agriculture for the ease of your understanding.
What are the applications of remote sensing in agriculture?
- The application of remote sensing in agriculture will lead to eliminating the issues that are going to happen at an earlier stage
- This ensures the farmers by providing the remotely sensed picture data to focus on the affected areas
- This is very important in fixation of the fertilizers rate in real-time
- The mainly notable feature is it is capable of noticing the shortages of the nutrient and unwanted incursions, damage caused by the insects and rats
Challenges in the Remote Sensing in Agriculture
- Sensor Position
- Platform
- Altitude
- View of the angle
- Image Resolution
- Temporal
- Spatial
- Crops
- Crop Species
- Growth Stage
- Data Processing
- Software
- Accuracy
- Technical expertise
- Time
- Atmospheric Effect
- Smattering
- Climate Conditions
- Absorption
These are the challenges while implementing remote sensing projects in agriculture, as the above-mentioned aspects are very essential to have a deep insight of these in the deployment of remote sensing in reality. Now it is time to know about the research gaps in remote sensing without wasting the time we will have a quick discussion on it.
Application of the breeds, the available spectral resolution, and spatial resolution are the essential components that are subject to the selection of the remote sensing system
Research Issues in Remote Sensing
- Temporal Resolution
- Geo stationary satellites are subject to continuous remote sensing whereas the orbiting satellites the information for each time they come across the area
- For regular sensing, remote sensing cameras are deployed on the aircrafts
- Temporal resolution is acquired on the fields of agriculture which is captured by the remote sensing cameras
- Radiometric Resolution
- This represents the very sensitive information
- This is the capacity of detecting the slight differences in reflection
- The specified electromagnetic range will be facilitated by the effective radiometric resolution
- Spatial Resolution
- This has capable of detecting the tiny objects on an image which is known as pixel
- This is subject to per square meter which means the tiny area is denoted by one pixel with high resolution
- Spectral Resolution
- Multispectral can evaluate the wavelengths of the images captured by the different satellites like NIR, Landsat, and Quick bird
- This resolution indicates the bandwidth and the wavelengths of the bands
- The electromagnetic field has the slender bands
- The hyperspectral resolution is highly sensitive compared to multispectral resolution
- Both resolutions is used to evaluate the crop condition in real-time
Issues faced by the Agricultural Areas
- Crop water Stress
- Water stress detection will be identified by the spatial-temporal variability
- Soil Texture Mapping
- Pointing the relationship between the texture of the soil and the surface
- Crop Maturity Mapping
- Assuming the right harvesting time
- Crop Yield Mapping
- Method for figuring out the number of fruits are produced
- Residue Cover and Tillage Mapping
- Enumerate the temperature of the soil and water
- Irrigation of modeling Soil texture
- Analysis of the moisture conditions of the soil over the time
- Discovery of the Plant Decease
- Feed the fertilizers in the earlier detection of the deceases
- Evapotranspiration and Drought Stress
- Troubleshooting safety measures are essential in the earlier detection of the draught
Top 25+ Latest Ideas of Remote Sensing Projects in Agriculture
- Mapping of the soil
- Evaluating the crop condition
- Observing and estimating the area
- Draught Assessment
- Forecasting of the production of the yields and designing
- Nutrient deficiency detection
- Reflectance modeling
- Water resource assessment
- Classifications of the vegetation
- Evident Spectroscopy
- Canopy measurements
- Accuracy of Farming
- Monitoring the farms
- Crop and soil procedure
- Assessment of the water resources
- Abiotic and biotic plant stresses
- Flooding and water corrosion
- Penetration of the canopy
- Breed water status
- Phonemics based on fields
In the end, remote sensing is the technology that comes under the balloon and aerial photography for imaging purposes. In addition, we can discover the crop conditions in the earlier stage to avoid the last-minute safety measure. This can improve the production of the crops and we can cost-effectively predict the yields. We hope that this handout will be very useful for the researchers who are surfing about the remote sensing projects in agriculture.
