Agriculture in India covers nearly 180 million hectares in India. PInCER, at its heart, is a live crop map that presents the geo-location of standing crops across the country. Using satellite imagery to classify crops, PInCER makes the crop map actionable by overlaying useful data on it, including village boundaries, farm sizes, crop health, weather forecasts, yield estimates, and land ownership. It allows for data-based decision-making on stock allocation, manpower deployment, procurement strategy, and crop risk.

How does PInCER help?

With near real-time acreage insights, weather, and disease alerts, we enable agri-input firms to make better strategic decisions and gain control over prioritizing correct geographies.

Our solution streamlines production planning, reduces pilferages, and establishes effective communication between the farmers and the agri-input firm.

PInCER is a first-of-its-kind, live crop map of India.

  • Updated every Kharif and every Rabi season, major crops are classified at high resolution across the country. Clients can access All-India acreage estimation on demand
  • Covers major crops such as Paddy, Soybean, Maize, Sugarcane, and Wheat among others. New crops will be added each season
  • Built using RMSI’s decades-old expertise in satellite imagery analysis and application of AI/ML
  • High crop classification accuracy borne by years of experience classifying crops in India, Europe, and South East Asia

PInCER Modules Enabling the Agri Input Firms

In-season Tracking

Using remote sensing to track areas and crops of interest, monitoring crop health, making yield estimates and harvest updates

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Village Prioritization

Helps agri-sector players prioritize villages based on crop acreage, health, yield forecast, and scores of other parameters

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Field Management System

Portal for allocation of territories and farmers to extension teams, tracking actual visits and supporting navigation to enrolled farms

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Farmer Decision Support System

Mobile app that supports farmer enrollment, geolocation, tracking, and advisory for crop risk mitigation

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Pest and Disease Outlook

Platform provides a 15-day outlook of likely pest or disease outbreaks using a weather forecast

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Key benefits of using PINCER

Satellite and weather-based advisory

Prioritize your target area

Demand forecasting & effective go-to-market strategies

Better manpower and resource allocation

Track crop-specific acreage and yield estimation

Target field visits for your last-mile delivery

Success Stories

Mapping maize crop acreage for an agrochemical and agricultural biotechnology corporation

The client wanted to conduct a study to estimate and map the crop acreage of Maize across 5 countries in Asia (China, India, Pakistan, Philippines, Thailand & Vietnam). The aim was to have a scalable approach to identify Maize-growing regions in these countries and estimate crop acreage, which will eventually help the company plan for its maize-oriented products. 

We adopted an integrated approach to use satellite imagery, ground survey, and secondary information to develop an understanding of Maize crop acreage. We conducted a detailed analysis to understand the Maize crop’s sowing window, crop duration, and spatial distribution/spread across the five Asian countries during 2018-19’s multiple cropping seasons.


The client is a leading commodity board that sought an innovative approach to monitoring crop production nationwide. The aim was to know the likely production of the mustard crop in the country. In the past, they relied on limited survey-based estimations and publicly available data, resulting in a less reliable strategy by associated members of the board.

We adopted a solution that involved creating a comprehensive crop map of mustard across the country, allowing them to track the progress of the crop throughout the season. We also factored in the impact of untimely rains and other weather parameters, ensuring our estimates were as accurate as possible.


A leading commodity board sought an approach to monitor crop production nationwide and branch out into new districts. They required insights on which villages to prioritize for their operations as they were relying on survey-based estimations and publicly available data, which was dated and resulted in significant losses due to unpredictable price fluctuations.

We adopted a cutting-edge solution, providing a Pan-India soybean crop map that delivers precise acreage estimations and tracks the crop throughout the season. By mapping the crop, we could identify and illustrate the impact of unseasonal rainfall on likely production and supported the client in planning their procurement strategy.


One of the fastest-growing NBFCs wanted to expand its footprint in the agri-lending sector with limited access to insights. The aim was to focus on villages where they could start business operations.

With the village prioritization tool that uses historical agricultural and socio-economic parameters, we could provide a list of regions they could focus on. Our solution allows them to allocate their resources to focused areas without spending high marketing budgets.


The client wanted to conduct a pilot project to compare the potential scope, applicability, and viability of various advanced technology-based yield estimations for three crops – Paddy, Cotton, and Red Gram – grown in different agro-climatological zones of India.

We proposed an approach where robust machine algorithms were clubbed with efficient remote sensing technologies and physical surveys. It captured ground control points (GCPs) critical for capturing location, crop signature, and CCE data.  We generated crop spread maps for specific crops using high spatial resolution satellite imageries.

Assessing crop growth using remote-sensing techniques for a non-profit international research institute

The client wanted to conduct a study for crop health monitoring, pre-harvest crop acreage, and yield estimation to find out the potential scope, applicability, and viability of scientific and modern techniques in agricultural assessments. The areas of study were four soybean-growing districts of Maharashtra (i.e., Kolhapur, Latur, Osmanabad, and Washim). 

We conducted an experimental study to compare the potential scope, applicability, and viability of four advanced technology-based agricultural assessment techniques for soybean as a test crop with different Agro-climatological set-ups in Kharif 2016.

Crop yield estimation & supply chain management for an Apex-Export Trade Promotion Active government entity

The client wanted to assess the Basmati crop acreage in northern India to estimate yield, thereby assisting in effectively managing the Basmati supply chain in India, mainly for exports.

We adopted an integrated approach to use satellite remote sensing, ground survey, and secondary information to develop an understanding of Basmati acreage. It was followed by satellite image processing to estimate the spatial distribution and distinction of different rice varieties from Basmati, depending on the various crop growth stages at the time of imagery acquisition.

Brochure | Agri Input Firms

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