Harvest Helper: A Farmer’s Companion Portal

Agriculture is fundamental to food security and

economic stability, yet it faces challenges such as

unpredictable weather, resource limitations, and

market volatility. The "Harvest Helper: A Farmer’s

Companion Portal" addresses these issues by

leveraging machine learning (ML) models to

provide farmers with yield predictions, fertilizer

recommendations, and crop selection guidance.

The portal integrates ML algorithms like Decision

Trees, Random Forest, and K-Nearest Neighbor

(KNN) to analyze environmental data, soil

characteristics, crop types, and historical yields,

enabling farmers to make data-driven decisions.

Key features include weather forecasts, soil health

analysis, and real-time market trends, creating a

holistic support system for agricultural planning.

Results demonstrate high accuracy in predictions

and recommendations, helping farmers optimize

resource use and maximize productivity.