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Crop Recommendation System Using Soil Parameter With Suitable Fertilizer
Authors Name:
Prof. R. M. Dhokane
, Nagare Sakshi , Khandode Priyanka , Ugale Sakshi , Khairnar Vrushali
Unique Id:
IJSDR2305167
Published In:
Volume 8 Issue 5, May-2023
Abstract:
As we are probably aware, India is the second-largest populous country on the planet, and a larger part of individuals in India have agribusiness as their occupation. Ranchers are developing the same yields over and over without attempting new varieties of harvests, and they are applying compost in irregular amounts without knowing the substance or amount lacking. Thus, this is directly influencing crop yield and furthermore causes dirt fermentation and harms the top layer. Thus, we have planned the framework utilising AI calculations for the improvement of ranchers. Our framework will recommend the best reasonable yield for specific land in view of content and climate boundaries. And furthermore, the framework gives data about the expected substance and amount of manure and the required seeds for development. Thus, by using our framework, ranchers can develop another assortment of yields, increase overall revenue, and keep away from soil contamination.
"Crop Recommendation System Using Soil Parameter With Suitable Fertilizer", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1053 - 1057, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305167.pdf
Downloads:
000222060
Publication Details:
Published Paper ID: IJSDR2305167
Registration ID:206448
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1053 - 1057
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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