Authors :
Dipti Dubey; Nitesh Gupta; Subhodhni Gupta; Shashi Gour
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/ycykbwkc
DOI :
https://doi.org/10.5281/zenodo.8126314
Abstract :
Recommendation systems have become
increasingly common in recent years. The use of
recommender systems has become common in an
assortment of commercial applications. There are
software tools and techniques that provide suggestions for
items of use to the user called recommender systems.
Recommender systems help users to make various
decisions such as what item to buy, what music to listen
to, which book to read, etc.
But in the field of agriculture, the selection of crop
and cropping techniques has a significant impact on the
productivity and financial success of farmers. So many
parameters including rainfall, soil properties, crop
rotation, land preparation, and uncontrollable elements
like weather, have an impact on crop recommendations
are involved with uncertainty a good recommender
system is required. It is unfortunate that there is no
universal system to assist farmers in agriculture. Most
Indian farmers cultivate at their own discretion and
follow the pattern and norms of ancestral farming. Due to
a lack of adequate technical knowledge, they do not get
enough production and profit.
By using recommendations that are appropriate for
them, the proposed agricultural recommender system will
assist the farmers in minimising their losses and
maximizing their profits. Based on the necessary
parameters, this system helps the farmers in selecting a
suitable crop for farming.
Keywords :
Crop Recommendation, Supervised Learning, Classification Models.
Recommendation systems have become
increasingly common in recent years. The use of
recommender systems has become common in an
assortment of commercial applications. There are
software tools and techniques that provide suggestions for
items of use to the user called recommender systems.
Recommender systems help users to make various
decisions such as what item to buy, what music to listen
to, which book to read, etc.
But in the field of agriculture, the selection of crop
and cropping techniques has a significant impact on the
productivity and financial success of farmers. So many
parameters including rainfall, soil properties, crop
rotation, land preparation, and uncontrollable elements
like weather, have an impact on crop recommendations
are involved with uncertainty a good recommender
system is required. It is unfortunate that there is no
universal system to assist farmers in agriculture. Most
Indian farmers cultivate at their own discretion and
follow the pattern and norms of ancestral farming. Due to
a lack of adequate technical knowledge, they do not get
enough production and profit.
By using recommendations that are appropriate for
them, the proposed agricultural recommender system will
assist the farmers in minimising their losses and
maximizing their profits. Based on the necessary
parameters, this system helps the farmers in selecting a
suitable crop for farming.
Keywords :
Crop Recommendation, Supervised Learning, Classification Models.
