---
title: "AI-assisted agricultural advisory exploration"
description: "Exploring how satellite imagery, soil/weather signals, and models might support farming recommendations — early prototype work, not a deployed national system."
canonical: "https://www.ayushrai.site/research/agri-advisory-ai/"
last-updated: "2026-10-16"
---

# AI-assisted agricultural advisory exploration

Source: https://www.ayushrai.site/research/agri-advisory-ai/
Markdown: https://www.ayushrai.site/research/agri-advisory-ai.md

Exploring how satellite imagery, soil/weather signals, and models might support farming recommendations — early prototype work, not a deployed national system.

Status: Experiment. Period: 2024-01 – present.

Not a peer-reviewed paper. Treat as an investigation/experiment log.

## Context

Exploratory project work, not a formal lab publication.

## Methods

- Computer vision / imagery pipelines (exploratory)
- Sensor and weather data fusion (partial)
- Prototype recommendation UX

## Technologies

- Python
- TensorFlow
- Satellite APIs
- Computer Vision

## Findings

Built toward a working prototype path. Earlier portfolio text claimed '20+ farmers' and '85% accuracy' — those numbers are not verified here and should not be cited until confirmed.

No funding claim verified.

## Needs confirmation

Unverified. Do not cite these as facts.

- Farmer pilot count
- Prediction accuracy figures
- Deployment status beyond prototype

_Unverified award metrics are omitted. Wording matches the public site._