Crop.py

The Smart Crop-Management System

Description

Crop.py is a smart, end-to-end crop management system. It provides actionable recommendations for your crop needs, gives you additional information for crops, and provides a simple, easy-to-use platform for buyers to connect to farmers.

Reasoning

The situation in Indian Agriculture, and particularly farmer distress, is increasingly getting the focus, reaching centre stage in The Media and public discourse; at long last, Agriculture is showing signs of getting the attention it richly deserves; for too long we Urban Indians have ignored Indian Agriculture. Our team aims to tackle this issue by using machine learning to eradicate old-school myths and act as reliable source for farmers to get information regarding a wide variety of crops catered to their environment.

Problems we aim to tackle

• Low penetration of high-yield Hybrid varieties, proper varieties attuned to Indian Climate; varieties for rainfed . irrigated, saline, alkaline, loamy soil etc etc; their awareness among farmers and their availability.
• Re-planting of Seeds, right seeds for right areas
• Unscientific Agricultural Techniques Note: this has absolutely no relation with technology, which is immaterial insofaras this problem is concerned; mechanization has little direct relation with productivity, which is a straight function of inputs - Soil, Water, Nutrients, Agronomical Techniques, Air and Sunlight.
  This spans crop rotation as well as other agronomical approaches.
• Quality of Soil in some tracts of India.

Detail

• Recommendation System

Crop.py gives actionable recommendations based on soil data, time-series weather and temperature data. It uses kernelized support vector regression, (using the Scikit-learn library).

• Crop Information

Crop.py analyzes and recommends, based on data acquired from India's foremost Scientific and Agricultural Research Organizations.

• Connects Farmer to the Market

Crop.py allows farmers to post their harvests on an open, transparent platform. Prospective buyers can view this information, and purchase stock directly, eliminating the middleman.

• Technology Stack

Front End: HTML, CSS, Bootstrap
Back End: Django, Scikit-Learn (Machine Learning Model)

Connection to Agriculture

Crop.py is an end-to-end Crop Management System.

• It gives farmers the ability to make informed decisions, based on concrete data
• It gives them information to take the best care of their crop
• It provides a platform for farmers to directly access the consumer market.