Advanced International Journal for Research

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Agricultural Crop Recommendation Based on Productivity and Season

Author(s) Mr. ASIFALI SALAUDDIN JAMADAR, Ms. DIVYA JITENDRA KAMKAR, Ms. BHAVANA RAMACHANDRA SAVADATTI, Mr. AKASH DASHARATH BHOSALE
Country India
Abstract Agriculture is the backbone of the Indian economy, and selecting the right crop for a given season and region plays a crucial role in improving productivity and profitability. Farmers often face challenges in deciding which crop to cultivate due to varying soil conditions, climate changes, and market demand. To address this issue, this project focuses on developing an Agricultural Crop Recommendation System that suggests the most suitable crops based on productivity factors and seasonal conditions.
In the first phase, the system collects important agricultural parameters such as soil nutrients (Nitrogen, Phosphorus, Potassium), pH level, temperature, humidity, and rainfall. Based on these inputs, the system recommends the most suitable crops for a particular season and location. It helps farmers make informed decisions that can lead to higher productivity and sustainable farming practices.

In the second phase, the project includes an Advisory Page for Fertilizers, which suggests the appropriate type and quantity of fertilizer required for the selected crop. This advice is generated by analyzing soil nutrient levels and crop requirements, ensuring that the farmer uses the correct fertilizer combination for better growth and yield. The system also aims to reduce excess use of chemicals and promote eco-friendly agriculture.
Keywords Python, html, CSS, ph., sensor
Field Engineering
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-11-18
DOI https://doi.org/10.63363/aijfr.2025.v06i06.2076
Short DOI https://doi.org/hbbz7s
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