Agriculture contributes roughly 14% of the India’s total GDP and has almost 40% of country’s workforce, as the population grows it makes the agriculture sector the most important and least developed sector for India. 

To support agriculture sector, there is a technique called Precision agriculture which is a farming management concept, that uses data to ensure crops & soil receive exactly what they need for optimum health & productivity.   

How does it work?

Our drone is equipped with a high-resolution RGB & hyperspectral camera and autonomously flies over agricultural land and collect the data. After post-processing the data taken by the onboard sensor, we get:

• The NDVI images, which estimate the crop yield, nutrient content, and differences in water content in soil and plant vigor.  
• The color infrared processed images, to check variability in soil moisture, identify the water bodies, assessing plant health & soil composition. 
• The NDRE Images & Chlorophyll map, to detect stress, fertilizer demand, chlorophyll content, identify healthy crops, & nitrogen uptake in soil. 
• The OSAWI images, to use in areas of high plant density where NDVI saturates.
• These data will be used to minimize NDVI’s sensitivity and the DSM data, to estimate the crop volume, identify surface properties, and model water flow & accumulation.

This technique will help the farmers to get the maximum benefit from their crops but there is no technique which can prevent the bad weather and natural calamities.

 Almost 40% of the farmers report yield losses every year due to bad weather and natural calamities and to resolve this issue central government launched the crop insurance scheme called Pradhan Mantri Fasal Bima Yojna (PMFBY). Almost 30 million farmers (25 percent of households) are covered today by the Indian crop insurance program. The PMFBY aims to expand the coverage of farmers across the country to 50 percent of farming households in the span of the next 2 to 3 years but there are a few challenges.