CROP RECOMMENDATION SYSTEM

Abstract

ABSTRACT A crop recommendation system (100), the system (100) comprising: a user interface (102) configured to enable the user to input a plurality of parameters associated with an agricultural field and weather; a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to: receive data from the user interface (102), analyze the data using at least one artificial intelligence (AI)/machine learning (ML) model, and recommend a crop appropriate for the agricultural field along with farming products.

Specification

Description:

FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of agricultural technology and, in particular, to a crop recommendation system designed to optimize farming practices through advanced data collection, analysis, and user interaction features.
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] Conventional agricultural systems often depend on basic methods for crop selection, utilizing generalized guidelines based on local conditions. These methods can lead to inefficiencies, as they do , Claims:1. A crop recommendation system (100), the system (100) comprising:
a user interface (102) configured to enable the user to input a plurality of parameters associated with an agricultural field and weather;
a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to:
receive data from the user interface (102),
analyse the data using at least one artificial intelligence (AI)/ machine learning (ML) model, and
recommend a crop appropriate for the agricultural field along with farming products,


2. The system (100) as claimed in claim 1, wherein the plurality of parameters includes but not limited to soil type, climate, crop type, and alike.

3. The system (100) as claimed in claim 1, wherein the at least one AI/ML model includes but not limited to Decision Tree, Naive Bayes, KNN, Random Forest, and Logistic Regression.

4. The system (100) as claimed in claim 1, wherein the user interface (104) also enables the user to create and manage a profile to

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