METHOD FOR ENHANCING AGRICULTURAL PRODUCTIVITY THROUGH A MOBILE APPLICATION

Abstract

ABSTRACT A method (100) for enhancing agricultural productivity through a mobile application. Further, the method comprising utilizing machine learning algorithms to analyse crop health and identify plant diseases based on digital images captured by users. Further, the method (100) comprising the steps of providing crop analysis and prediction features that suggest optimal crops for cultivation based on soil nutrients and weather conditions. Further, the method (100) comprising the steps of offering a marketplace functionality that enables farmers to sell their agricultural products directly to consumers, thereby eliminating intermediaries. Further, the method (100) comprising the steps of integrating information about government schemes and financial assistance available to farmers. Further, the method (100) comprising the steps of delivering educational content and expert advice on sustainable farming practices to empower farmers i

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of precision agriculture and, in particular, to a method for utilizing advanced data analytics and machine learning techniques to provide farmers with tailored crop analysis and prediction features that optimize agricultural practices and enhance sustainability.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The increasing demand for sustainable agricultural practices has led to a growing interest in precision agriculture, which lever , Claims:1. A method (100) for enhancing agricultural productivity through a mobile application, the method comprising the steps of:
utilizing machine learning algorithms to analyse crop health and identify plant diseases based on digital images captured by users;
providing crop analysis and prediction features that suggest optimal crops for cultivation based on soil nutrients and weather conditions;
offering a marketplace functionality that enables farmers to sell their agricultural products directly to consumers, thereby eliminating intermediaries;
integrating information about government schemes and financial assistance available to farmers; and
delivering educational content and expert advice on sustainable farming practices to empower farmers in decision-making.

2. The method (100) as claimed in claim 1, wherein the step of providing crop analysis and prediction features includes utilizing historical weather data and soil health parameters to generate tailored recommendations for crop rotation and nutrient manag

Documents