The information symmetry is vital in policy formation and evaluation in agriculture. Through our dynamic and interactive products, we are addressing lack of primary data. The sector needs accurate and complete digital information to guide formation, implementation, marketing, monitoring and assessment of agricultural policies.
We are creating solutions for digitising the data collection processes and enabling data-driven understanding of markets by helping stakeholders reach out to each other and accomplish the best out of their products, services and schemes.
Agriculture in India has so far stayed untouched by the impact of technology, and we are very happy to change that through our products. We believed agriculture, of all the sectors, should be marvelled by the wonders of a digitised system that monitors and caters to its needs.
Information asymmetry existing in the system needs a scalable, integrable and customised approach to resolve it. FarmGuide is integrating technology such as machine learning and data analytics to create customized information to cater to farm businesses and growers through business intelligence and timely information respectively.
By digitising the agricultural assessment techniques such as Girdawari (national harvest inspection census) and Crop Cutting Experiment (National yield calculation); and integrating all stakeholders into a digitised system, we are helping the government in data driven policy-making.
Considering the diverse and large scale nature of the sector, we in our effort to implement the solutions suitable for remotest farmers, decided to partner with government.
FarmGuide is now on course to handle nation scale agri e-governance projects in order to achieve the common goal of uplifting the farmers and understanding agriculture comprehensively.
We help small and marginal farmers, that account for 98% of the farmers' population in India by making processes used to avail resources and schemes, accessible, transparent and time efficient.
Our products are aimed to help our stakeholders in maximising coverage and penetration rather than maximising profit. This is how we define ourselves as farmer centric.
One thing we are absolutely certain about is that data belongs to the farmers, and we deeply aspire to keep it that way.
We are creating our products in a way that they can be used by all the stakeholders including village level field employees without any instruction manuals or individual guidance.
We are applying advanced big- data analytics technologies and techniques on our data sets which includes granular level data such as farm size, irrigation facility, crops, weather and pest attacks, to predict macro parameters such as crop risks, commodity prices, harvest density, market scope for agri input providers etc.
We are dynamically capturing, processing and providing relevant information to farmers and related stakeholders exclusively, helping input providers, financial institutions, FMCG and harvest buyers at every stage of customer acquisition to increase efficiency and coverage across their operation.
Catering to the sector that boasts of maximum dependency and largest market size, each of our products has created a unique and large scale user-base, for eg. our crop insurance software solution alone has currently 3 lakh bank branch users, 2.5 lakh common service centers, over 2 lakh government agriculture field officers benefitting over 12 crore farmers nationwide.
Being aware of the fact that agriculture is an unorganised sector with insanely complex hierarchies, we visit the fields and understand existing processes to relish the sheer thrill involved in developing products that cater to all stakeholders, primarily farmers.
From providing credit score rating to enabling them to gauge crop risk,current customer base and market trend; we are helping financial institutions in determining credible farmers and keeping a check on non-performing assets. The crop risk calculation will also help them devise customised crop insurance schemes and feasible crop insurance policies.
We have in house remote sensing technology that helps seed/fertilisers/pesticide providers innovate upon scientific advancements in quality product development. Our data scientist processes higher-quality data using remote sensing and machine learning to understand market sizes and affordability for newly developed inputs.
By providing geo-positioning and density mapping of harvests, we are helping food processing units and cold storage companies in infrastructural development and efficient farm to market connections. The digitalised farmlands will bring multiplier effect in increasing movements of goods and services which will improve earnings potential of rural areas.
From accessibility to farm level granular data to effective calculation of average yield to timely delivery of input subsidies and insurance claims, we are facilitating data analytics, evidence-based policy making and evaluation of various schemes by the government.
Data collection and its analysis is crucial in research for discovering answers to research questions and predicting outcomes. The long-term data-pattern required to achieve logical understanding from research is costly and considering the dynamic nature of sector, less impactful. We capture micro to macro dataset of agriculture in real-time to assist researchers.
Through agri-dependence index and credit score of farmers, we are helping corporates for devising targeted CSR intervention. It will help corporates to create an effective and measurable impact in society and uplift the section which remain untouched by any policy change. It will help them to achieve the goal of CSR ‘filling the last mile gap’.