AGRI FIRMS

As a key component of the agricultural value chain, agribusinesses form the backbone of the Indian economy’s agriculture sector. Most agribusiness companies provide a wide range of services to farmers, from introducing new technologies and market information to producers, providing knowledge on using new varieties/technologies, and improving their access to inputs and financing services. Agricultural inputs have a vast potential to scale up and maximize agricultural productivity in the country.

The emerging global challenges like climate change, pest resistance, and supply chain disruptions have made the agri input industry face a challenging future.

Key challenges distressing the agri firms

Identifying Regions Within Districts for Specific Crops

Manual Interventions are Time-consuming and Bound to Human Error

Data Collection and Continuous Monitoring

Production Inefficiencies & Thefts

Connect Between Seed Companies and Farmers

How does PInCER help?

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

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

PInCER Modules Enabling the Agri Firms

In-season Tracking

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

Village Prioritization

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

Field Decision Support System

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

Farmer Decision Support System

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

Pest and Disease Outlook

Using weather forecast, the platform provides a 15-day outlook of likely pest or disease outbreak by district

Key benefits of using PINCER

Satellite and weather data-based advisory

Prioritize your target area

Demand forecasting and effective go to market

Drive farmer engagement

Track crop-specific acreage and yield estimation

Limit field visits for your last-mile team

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 understand maize growing regions in these countries and estimate crop acreage, which will eventually help the company in planning for its maize-oriented products. 

RMSI 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.

Gram Panchayat level crop yield estimation using technology for a government entity

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.

RMSI 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, and RMSI generated crop spread maps for specific crops using high spatial resolution satellite imageries.

Assessing crop growth using remote 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). 

RMSI 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 in four soybean-growing districts of Maharashtra 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 and thereby assist in effectively managing the Basmati supply chain in India, mainly for exports.

RMSI 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 Firms

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