The farmers and the public policy decision makers have little visibility into all the factors that affect a Crop. Using the data from sensors, Satellite and other sources, Vassar Labs solutions offer Decision Support and Actionable advisories to the complete Agri eco-system.

Agro-Climatic Zone Planning

This solution raises advisories on cropping patterns to be adopted in a particular region based on multiple parameters like weather, dry spells, water sources, historical cropping patterns using large scale optimization models which result in increased GVA for the state and income for the farmer while still keeping positive water balance and other environmental factors into account.

Need for Agro Climatic Zone Planning
  • There is a need to optimize the Cropping pattern to maximize Economic Yields by not over utilizing water, Soil and other scarce resources.
  • Cropping pattern to be recommended taking into account Agriculture, Horticulture, Aquaculture/Fisheries and Animal Husbandry.

The Agro Climatic Zone Planning takes into consideration all the below factors to recommend a Cropping Pattern for a specific land holding. This ensures that the user is recommended with a solution that gives maximum returns. The solution focuses on.

  • Increasing the Land Utilization
  • Increasing the crop intensity
  • Increasing the productivity
  • Efficient use of Land & Water

Cropping pattern advisories based on various constraints like water, soil etc. to optimize the economic yield.

Crop Date of Sowing Advisory


The Date of Sowing is an important aspect of crop yields as the crop water requirement at the critical stages determines the crop success or failure.


This feature uses the last 30 years weather data as well as current season weather and forecast at a block level to raise advisories to the department officials if the current week is a congenial week for sowing a particular crop in that region. This is based on.

  • Enough soil moisture and rainfall forecast for successful germination.
  • Low probability of soil moisture stress during the critical period based on historical rainfall data
  • Type of Crop and Crop Phenology

The farmers have limited visibility over the weather conditions in future. The Date of Sowing window ensures that the crops are sown with congenial weather and water conditions thereby increasing the chance of success.

Crop Soil Moisture Stress Advisories


The soil moisture stress affects Crop yields to a large extent. The timely interventions to mitigate Soil moisture stress provide both Protective and Productive irrigation.


The solution raises crop specific advisories if a particular crop/farm is under stress and the intervention to be taken in the next 7-10 days. This solution takes into account.

  • Current Rainfall and Weather Parameters
  • Rainfall and Weather Forecast
  • Soil Moisture
  • Crop Booking Data
  • Sowing date of crop
  • Crop Phenology, Critical Periods and Crop Water Requirements
  • Soil moisture Data

Using the above-mentioned parameters, Crop Balance models are run to raise advisories on crops/areas affected by soil moisture stress.

  • Timely advisories for mitigating crop stress
  • Advisory on water source to tap into for supplying water

Crop Pest/Disease Advisories


Pests/Diseases adversely affect the crop yields and timely advisories help preventing pests/ diseases.


This solution aims at raising crop-specific advisories to the field officers or farmers regarding the areas that are likely to be prone to Pests/diseases. The model considers current weather, weather forecast, crop phenology and various stages of crop where a pest could infect a crop and the favorable conditions for pest or disease to thrive. The model gives these advisories at lowest possible granularity and alerts can be sent to the stakeholders. There is also the Economic Threshold Level (ETL) which is an indicator of whether an intervention needs to take place to prevent huge economic loss. In addition to raising advisories the solution also gives the appropriate remedial action that needs to be taken to mitigate pest risk.


Actionable and timely advisories to prevent pest and disease.

Crop Soil Health Card Analysis and Planning


Analyzing Soil Health Card data can provide insights into optimum use of inputs like Fertilizers, Pesticides and Micro-Nutrients.


Vassar Labs solution analyzes data on cropping patterns, soil health card, crop cutting experiment data and fertilizer consumption data to come up with the following.

  • The soil nutrient and health status in a geo-spatial format
  • Major Nutrients like N, P, K, Micro Nutrients like Boron, Zinc and Ph are considered
  • The current pattern of fertilizer usage across the state against the Soil Health Card recommendations
  • Financial impact to stakeholders due to excess fertilizer usage
  • Impact on productivity because of low usage or wrong mix
  • Impact on productivity due to problematic soils and cost of correction of problematic soils.
  • Advisories on optimum mix of fertilizers to be used based on the current soil health status and Cropping Pattern.
  • Maintain Soil health and quality.

Crop Acreage Estimation


Estimating Crop acreages using Satellite data with little/no manual entry.


Vassar Solutions use remote sensing data for Crop type monitoring and Crop acreage estimation. Using both optical and microwave remote sensing data the crop acreage estimation for different crops like Paddy, Ground Nut, Maize etc.


Estimating crop acreages resources using satellite data and monitoring the changes over a period of time.