The picture-based insurance (PBI) will provide much accurate crop assessment using smart phones technology, this new technology aims to minimize costs of loss verification, easy access and deliverable solution to reach out to every single farmer. Combine that with the smart phone
technology product from the company along with the weather station data support and Drone based aerial crop assessment, and farmers must able to better negotiate their coverage based on real-time data and much accurate data.

Picture-based crop insurance – How it works (source: International Food Policy Research Institute)

  1. Farmers download crop insurance app in their smartphones.
  2. Create account and login, multiple crop site location options
  3. Upload crop pictures regularly from sowing to harvest for same
  4. After cultivation, local agronomists analyze the pictures to verify
  5. Farmers who suffered crop damage receive insurance payout

The Picture-based insurance project was recently profiled in an article in The Indian Express. The picture-based insurance research conducted by the International Food Policy Research Institute (IFPRI), and implemented in partnership with the Borlaug Institute for South Asia (BISA), HDFC Ergo General Insurance, Limited, and researchers from The George Washington University, Boston University, and Ghent University.

Read more about PBI please click links below

Picture-based crop insurance: Is it feasible? Using farmers’ smartphone pictures to minimize the costs of loss verification using-farmers%E2%80%99-smartphone-pictures-minimize
2. Picture-based insurance: is it sustainable? Effects on willingness to pay, adverse selection, and moral hazard

We are working with insurance groups and there are some really neat things coming for the farmer with these technologies, “For example, if a hail event comes through on Monday, the farmer could be paid on Tuesday and they don’t have to wait for weeks for a payment, they could move forward right away.


Conventional crop or livestock insurance relies on direct measurement of the loss or damage suffered by the farmer. However, field loss assessment is normally costly or not feasible, particularly where there are a large number of small-scale farmers or where insurance markets are undeveloped.

Weather Analytica provides weather data (rainfall, temperature, humidity, pressure, soil moisture and soil temperature)) from local to regional at high-resolution datasets. Our team collected data from various sources such as station observed meteorological datasets, satellite derived products such as rainfall accumulation and rainfall rates, Satellite based cloud imagery for storm detection, and also utilizes model based accurate high-resolution soil condition (dry or wet soil) maps.

Whether drones are controlled by a remote or accessed via a smartphone app, they possess the capability of reaching the most remote areas with little to no manpower needed and require the least amount of effort, time, and energy. This is one of the biggest reasons why they are being adopted worldwide, especially by these four sectors: Military, Commercial, Personal, and Future Technology. Agriculture is one industry where the importance of big data isn’t emphasized enough. Using hyperspectral imaging technology, farmers can attain incredibly useful information that would help them maximize their operations. Depending on the imaging method, drones can help farmers do the following: assess crop health, spot
fungal infections on trees, locate growth bottlenecks, locate poor irrigation, and gather general information on environmental conditions.

Among the most promising areas is agriculture, where drones offer the potential for addressing several major challenges. With the world’s  population projected to reach 9 billion people by 2050, experts expect agricultural consumption to increase by nearly 70 percent over the same time period. In addition, extreme weather events are on the rise, creating additional obstacles to productivity. Agricultural producers must embrace revolutionary strategies for producing food, increasing productivity, and making sustainability a priority. Drones are part of the solution, along with closer collaboration between governments, technology leaders, and industry.

Precision crop monitoring

Weather Analytica provides solutions using aerial and ground-based drones technology for crop monitoring. Vast fields and low efficiency in crop monitoring together create farming’s largest obstacle. Monitoring challenges are exacerbated by increasingly unpredictable weather conditions, which drive risk and field maintenance costs. Previously, satellite imagery offered the most advanced form of monitoring. But there were drawbacks. Images had to be ordered in advance, could be taken only once a day, and were imprecise. Further, services were extremely costly and the images’
quality typically suffered on certain days. Today, time-series animations can show the precise development of a crop and reveal production inefficiencies, enabling better crop management.

Irrigation & Water Management with Drones

Weather Analytica using high-tech drones loaded with thermal cameras to help provide in-depth look, identifying regions of dry and wet soil condition. Using drones to manage irrigation can also allow farmers to check in more frequently which is crucial in times of extreme or unusual weather.




Many cities in India are still in the early stages of the urbanization process, meaning they have a unique opportunity to develop sustainable cities right from the beginning – a much more viable option than trying to retrofit them later on.

Weather Analytica provides in-depth analysis of landscape, topography elevation and soil conditions. And how a smart cities tackles rainfall and some important challenges as follows:

  • Cities face great challenges with water, either too much or too little
    Our cities are flooded immediately after few episode of rainfall and we have to redesign our cities, adaptation is urgent
  • A system approach is required. We need to restore the natural resilience of cities and their surrounding landscape
  • Nature based adaptation is a huge opportunity to improve quality of life
  • Create evidence base in living labs and exchange best practices
  • Urban (re)development programs offer large opportunities for co-creation. U$ 3 trillion invested in urban infrastructure


When rain falls to the ground in nature, water is absorbed and filtered by soil and plants. Yet in urban areas, the miles of paved surfaces and
infrastructure mean that fallen rain, or stormwater runoff, can be a major problem. Water that runs off of surfaces instead of seeping into the ground carries pollutants such as trash, bacteria, and chemicals gathered from the urban landscape. Stormwater runoff can also lead to floods and the erosion of urban waterways, which can cause serious property and infrastructure damage.

Transition towards green, circular and resilient cities, Weather Analytica provides intelligence solutions for planning & developing new smart cities as follows

  • Landscape/Landuse & Topography Mapping using remote satellite High-resolution (10s of meters spatial scale) and also include survey from Drone based technology.
  • Topography elevation and flow pattern investigation.
  • Reconstruction of heavy rainfall (local and regional) events to understand rain water flow across and around the city region.
  • Based on above three conclusions, Weather Analytica will provide nature-based adaptation to build smart cities which can improve quality of life and keep expanding urban future developments.

The coastal flooding triggered by cyclone is as destructive as wind but can be even more deadly, and is by far the greatest threat to life and property along the coastline. Storm surge, wave, and tides are the greatest contributors to coastal flooding, while precipitation and river flow also contribute during some storms.

Storm surge and coastal flooding depend on a number of factors. These factors include the intensity of a storm, its size, translational speed, angle of approach to the coast, landfall location, and the bottom slope at that location. Weather Analytica provides

  • High Resolution Maps of storm surge flooding
  • Cyclone Storm Surge Maximum Heights and strike Probability
  • Heavy Rainfall Flooding Risks (Low, Med, High)
  • One-on-one Consultation with our Scientific Experts
  • Flood Protection & Prevention Solutions with Our Strategic Partners This will comes under right side column section (examples and news feed etc)


Artificial Intelligence in Agriculture

Weather Analytica team is developing technique known as transfer learning to teach the AI to recognize crop disease and pest damage. Our company want to work with central/state government/farmers on pilot project on getting leaf sampling for all types of crop (cotton, maize, wheat etc). We are using Google’s open source library (TensorFlow) to build a library of AI 2500 images of cotton leafs. Recent studies show that the success was that the AI was able to identify a disease with 98% accuracy.

Our team consist of atmospheric, hydrological scientist, and data scientists to provide AI solution for Agriculture applications. The main objectives of our company to reach out every single farmer for improving crop yield production, more crop production means farmers will become economically stronger, and reduce hunger problems in the world. The AI can be very useful in agriculture practices and here are some important areas where the use of AI can benefit agriculture

  1. Automation techniques enabling farmers to sowing seed, irrigation and harvesting at right stage of the crop. And this is possible with Automation algorithm connecting between soil condition, temperature, humidity, rain parameters and what types of crop can be grown in various ambient environment of nature so that we can maximize crop yield.
  2. With the few leaf samples, Machine learning automation images (Image processing techniques) can detect infestation at early stage and can be subject for immediate pesticide spray with drone technology.

Our team is developing a cloud-based solution that aggregates all existing data that farmers have like soil/water sensors, aerial images and so on. It then combines it with an in-field device that makes sense of it all. The inputs from the various souse are used to find a correlation between different data labels and make predictions.

This modeling system uses land model and integrates satellite land data, observation data with data assimilation techniques.

The LMS uses a combination of observed and analyzed meterological forcing (precipitation, solar and longwave radiation, and surface wind, moisture,temperature) to drive a land-surface model to simulate the evolution of land surface states (e.g., soil moisture and temperature, snow, etc.).

Land Monitoring System has six components.

  1. For agriculture applications, this system will keep providing real-time data for soil conditions (dry or wet soil) information and these high-resolution mapping over India will be very useful in the agriculture revolution. The land surface temperature including vegetation index can provide drought conditions(classifying as normal, moderate, strong, severe).
  2. The LMS is very useful for weather and climate forecast system and we need this system specially over Indian continent.
  3. The LMS will keep updating landuse and land cover map over India and this will helpful in quantifying the landuse change and how much it is changed and can we address some very critical question on what our landuse will look like if we keep changing our urban to agriculture practices at the same rate.
  4. Drought monitoring
  5. We are start developing River model for India and forecast streamflow over the entire continental India.
  6. Wild fire application and vegetation mapping

We are started working on developing LMS system for India Continent and work with Indian government agencies across the board and as well private industries.

Land Monitoring System (LMS)