AboutAgronomics

Agronomics comes up with location-based suitability analysis, weather forecast, farm planning, crop simulator, soil analysis, image-based plant analysis, agripedia, Agri calculator, mandi rated, and Kissan Kollege. It also works on in-house remote sensors integration, banking compliance for crop loans, and farmer safety.

Agronomics is an AI/ML-powered Decision Support System designed for the quantitative analysis of field crop growth and production that aims to promote precision agriculture through scalability, easy accessibility, rapid implementation, and dependable data. Our automated service model enables us to be in continuous and direct contact with customers and obtain real-time input to improve services and keep clients for extended periods.

Address TechnicalUncertainties:

Find and resolve technical challenges and uncertainties in streamlined operations and enhance the functionality of agritech solutions.

Innovate andDevelop:

Drive innovation in agricultural technology to develop new products and services that increase farm productivity, sustainability, and profitability.

FosterExperimentation:

Encourage a culture of experimentation and creativity within the R&D team to explore novel solutions and think creatively.

Customer-CentricInnovation:

Develop technologies and ideas that meet the evolving needs of customers and help the company remain competitive in the agritech industry.

Sustainability andResource Efficiency:

To reduce greenhouse gas emissions and use natural resources more efficiently through innovative agritech products.

FoodSecurity:

Contribute to food security by recommending seeds and traits that can withstand various climatic conditions and improve yields.

Our mission is to revolutionize agriculture through innovative technologies. We are committed to developing advanced & intelligent software solutions that empower farmers and agribusinesses to perfect crop yields, reduce resource wastage, and enhance sustainability. By harnessing the power of data analytics, artificial intelligence and machine learning, we aim to drive efficiency and profitability in farming practices, thereby contributing to a more sustainable and food-secure future.

ProblemStatement

Crop yield can be negatively affected by drought, unexpected frost, and soil nutrient deficiencies. With an agricultural suitability tool, farmers can accurately predict the length of the growing season, decide which crops are best suited for their soil type, and simulate different growing scenarios to improve their crop production.

Difficultydetermining's suitability

It can be challenging to understand which crop is best suited to a specific area or soil type.

Difficultyin predicting the growing season

Uncertainty around the length of the growing season can lead to incorrect planting at the wrong time and lower yields.

Difficultyin simulating crop outcomes

Without effective simulation tools, farmers may make costly mistakes when choosing which crop to plant.

Fieldto Yield

Implementing robust traceability systems is crucial for minimizing losses, ensuring food safety, and promoting sustainable agricultural practices.

Data-drivenManagement Cycle

CoreCompetence

An online market is also available for registered fertilizers, pesticides, and seed companies where they can sell their products to the farmer. On the other hand, farmers can also sell their commodities to retailers & end users in the nearest town. It also focuses on the social initiatives that aim to promote and support Organic Farming, pollution remediating plants, "say no to food wastage," & farmer safety.