AGRICULTURE CROP RECOMMED SYSTEM BASED ON PRODUCTIVITY AND SEASON
Duggireddy Pravallika
, Bhanu Prasad M.C
Machine learning, crop recommendation, Data Pre-processing, Crop Prediction, Productivity
As a coastal nation, Tamil Nadu is going through agricultural uncertainty, that's lowering its manufacturing. With greater humans and area, greater merchandise might be produced, however it cannot be. In past a long time, farmers had phrase of mouth, but now they can't be used due to climatic elements. Agricultural statistics and parameters provide insight into agricultural records. The growth of statistics technology brings a few crucial trends in agricultural sciences to help farmers with precise agricultural information. In this strolling state of affairs, information approximately the utility of present day technological strategies inside the subject of agriculture is suited. Machine gaining knowledge of strategies really provide an explanation for the sample with the information and assist us make predictions. Agricultural problems consisting of crop availability, crop rotation, water requirements, fertilizer requirements and protection can be addressed. Due to the various reasons of the climatic surroundings, it is essential to have an efficient system to facilitate the cultivation of plants and to assist farmers in production and control. This will help future farmers to enhance agriculture. An advice device may be furnished to the farmer to assist him get his plants via the mines. To enforce this approach, vegetation are advocated in phrases in their climatic elements and amount. Data analytics paves the manner for growing beneficial extracts from agricultural databases. The crop dataset become analyzed and crop pointers have been made based on yield and season.
"AGRICULTURE CROP RECOMMED SYSTEM BASED ON PRODUCTIVITY AND SEASON", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.630 - 635, March-2023, Available :https://ijsdr.org/papers/IJSDR2303103.pdf
Volume 8
Issue 3,
March-2023
Pages : 630 - 635
Paper Reg. ID: IJSDR_204544
Published Paper Id: IJSDR2303103
Downloads: 000347294
Research Area: Engineering
Country: kanchipuram, tamilnadu, india
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
