What Is The Need For Modern Farming Methods?

Modern Farming Methods

Farming is an integral part of India. It provides employment to almost 60% of the country’s total population and also contributes to the economy. Agriculture is adopted in the major part of India, majorly for livelihood. As India’s population is increasing rapidly, the demand for food production hiked up too. The implementation of information technology in farming helps in fulfilling the food supply. Farmers use modern farming equipment to boost up the productivity level of crop yield. 

The tractor is the best piece of technology that is most prevalent worldwide among farmers. However, buying a modern and newly updated tractor needs a huge investment. In that case, most of the farmers instead go for the used tractor. For instance, used mahindra tractor models is a perfect choice for small farmers who have a significantly low budget. These tractor models come with top-class features that help in efficient farming operations. Moreover, farmers use modern technology devices to monitor their crop. This primarily reduces the risk of crop diseases that spoil major parts of yield. This whole concept comes under Precision Farming. 

In today’s blog, we are going to look at Precision Farming, NDVI and how it is an important part of precision farming.

Precision Agriculture and its benefits

Precision agriculture is a farm management technique that uses information technology to ensure the appropriate need for the crop and soil for optimum health and productivity. This provides profitability, sustainability and protection of the environment.

There are several benefits of the integration of precision agriculture. These include

  • More Improved Farming Procedure
  1. Cover Crops 
  2. Strip Tilling
  3. Better Farm Machinery 
  4. Various Rate Fertilization and Irrigation (Fertigation)
  • Results in more Cost Efficient Farming
  • Higher Crop yield with more profitability
  • Better quality of yield
  • Pron to less wastage as well

Normalized Difference Vegetation Index (NDVI)?

Normalized Difference Vegetation Index is an efficient graphical indicator which comes in handy to analyze remote sensing measurement. This is derived from Satellite Data and closely linked to drought conditions. NDVI is mostly used to determine the green patch on the land.

Moreover, NDVI is a standard measure used in remote sensing for agriculture. This shows the difference between visible and near-infrared reflectance of vegetation cover. Other use cases involve the estimation of the density of green in an area of land. It also helps to differentiate bare soil from forest or grass, crop and crop stages, and detection in stressed plants. 

What are the benefits of NDVI in Farming?

NDVI helps farmers look for anomalies in their fields which would be very difficult to spot from naked eyes. This is primarily implemented in row crop production and identifying biomass growth changes across the farmer’s fields. With the help of this, farmers easily determine if something goes bad to their crops on different parts of their land. 

How to Calculate NDVI?

Calculation of NDVI is in accordance of this formula, 

NDVI = NIR – RED / NIR + RED

Here, NIR = reflection in near-infrared spectrum.

          RED = reflection in red range of spectrum

According to this formula, the density of the vegetation at a specific point of an image is equal to the difference in the reflected light intensity in the infrared and red range, divided by the sum of these intensities. 

What is EVI, and how is it differ from NDVI?

The Enhanced Vegetation Index is an optimized vegetation index that boosts the vegetation signal with improved sensitivity in high biomass reason and vegetation monitoring through a background signal. Formula for the calculation of EVI is,

EVI = G x (NIR – RED) / (NIR + C1 X RED – C2 X Blue + L)

NDVI is chlorophyll sensitive, while the EVI is more responsive to canopy structural variations, including leaf area index. The major key difference between them is NDVI increases, and EVI decreases in snow.

Use of Satellite Image in Agriculture

The satellite image is used in the detection and mapping of drought or vulnerable areas. This leads farmers to focus on potentially higher-yielding farmland, which requires fewer natural resources. Remote sensing is very beneficial to achieve the highest yield potential of the land. This can be done by poor nutrition, disease or damage caused by flooding and wild animals.  

We hope you get an idea about modern farming technique. You can stay tuned with us for future updates related to farming and used Mahindra tractors. 

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