The farm sector has seen the rising impact of Digital Transformation. Emerging technologies like Artificial Intelligence (AI), Internet of Things (IoT), drones, and Big Data & Analytics are opening up possibilities and preparing the ground for Agriculture 4.0. These digital technologies are providing solutions for many complex worries in the farm-to-fork chain.

Procurement is the first crucial step in this chain. It’s a tricky challenge to navigate as the fate of millions of farmers is linked to it. It is valued at $488 billion employs around half of the country’s population of 1.3 billion and contributes 18 percent to the Gross Value Added (GVA). For authorities too, procurement is of especial interest as they need to ensure that only the genuine farmers avail themselves the benefits. Governments have digitized the procurement chain by creating farm registries with authenticated credentials of farmers and integrating them with the land records databases. However, that alone hasn’t plugged all leakages in procurement and post-harvest management. The classification of lands on paper has not always tallied with that on the ground. Moreover, end-to-end digital integration has not fully helped in figuring out the provenance of crops and the farmers raising them. An integrated crop analytics solution is the answer to the many-layered procurement riddle.

Accurate and timely crop analytics can enable state authorities to have end-to-end visibility into farms and farmers. Additionally, it can identify genuine beneficiaries and help governments to maximize the impact of interventions in the farm sector. Crop analytics can provide new possibilities in procurement by harnessing data at the hyper-local level.



  • Visual Outputs: With Land GIS' visual outputs, anomaly and crop pattern tracking is a breeze.
  • Ease of Survey: Improves efficiency & authenticity of field surveys via LS app.
  • Predictive Analytics: Land Analytics crunches through historical tabular data, field inputs & High Resolution Satellite Imagery (HRSI) for predictions.
  • Anomaly Tracker: Detects anomalies in yield at the end of a crop season via optical image analysis.
  • Trend Analysis: Finds scientific patterns in land & farmer registration through Land Analytics.
  • Improve Transparency: Improves farmer registration, sets more optimal procurement targets & procures more from eligible farmers with CropOne Insights.
  • Efficient Traceability: Get an accurate picture of crop traceability and the farmer producing it by tracking the critical data on crops received by millers
  • Effective monitoring: Empowers the state authorities to have end-to-end visibility on farms and farmers.
  • Map target beneficiaries: Enlists genuine beneficiaries and enhance outcomes of farm policy interventions
  • Flexibility: Whether it is centralized or decentralized procurement, with CropOne, you're at scale.
  • Crop Agnostic: Applicable and works across varieties of crops.
  • Integration: It can integrate with your crop procurement tech for post-processing analysis.
  • Powerful Reports: Easy-to-consume, detailed reports with insights can be generated easily in-app.
  • Hi-Resolution Field Imagery: View hi-resolution imagery of registered land parcels via sources like Google to check crop yield patterns.
  • Easy To Use Survey App: With a detailed but minimal UI, LS App delivers unparalleled UX for field surveyors.
CSM’s integrated crop analytics solution combines satellite-based GIS mapping, image analysis & processing with the power of visualization. Granular data collection and plot-level analytics help to capture satellite images that can be analyzed using Machine Learning (ML) modules.
Crop Analytics - Modern Satellite Farmland Diagnostics - CSM Crop Analytics - Modern Satellite Farmland Diagnostics - CSM

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