[PDF][PDF] Application of Machine Learning to the Process of Crop Selection Based on Land Dataset

SS Rajest, SS Priscila, R Regin, T Shynu… - International Journal on …, 2023 - researchgate.net
Annotation: We are well recognised that the vast majority of Indians work in agriculture. Most
farmers always grow the same thing, always use the same amount of fertilizer, and always …

[PDF][PDF] Crop selection method based on various environmental factors using machine learning

N Jain, A Kumar, S Garud, V Pradhan… - … Research Journal of …, 2017 - academia.edu
These India is an agriculture based economy whose most of the GDP comes from farming. In
an economy where most of the produced food is from agriculture, selection of crop (s) plays …

Agriculture crop selection and yield prediction using machine learning algorithms

MA Devi, D Suresh, D Jeyakumar… - … and smart energy …, 2022 - ieeexplore.ieee.org
Agriculture is the most fundamental and essential occupation for every human being.
Without agriculture there is no living being, au are chained through web of life. In India …

Machine learning-based optimal crop selection system in smart agriculture

S Rani, AK Mishra, A Kataria, S Mallik, H Qin - Scientific Reports, 2023 - nature.com
The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …

Machine learning approaches for smart agriculture

RRR Gandhi, JAI Chellam, TN Prabhu… - 2022 6th …, 2022 - ieeexplore.ieee.org
India's agricultural sector is an essential component of the country's economy. More over
half of the population in India relies on agriculture. This is high time that the Country needs …

Crop yield prediction using machine learning and deep learning techniques

K Jhajharia, P Mathur, S Jain, S Nijhawan - Procedia Computer Science, 2023 - Elsevier
Agriculture is a significant contributor to India's economic growth. The rising population of
country and constantly changing climatic conditions have an impact on crop production and …

[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey

V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

[PDF][PDF] Crop yield prediction using machine learning

M Champaneri, D Chachpara… - …, 2016 - svv-research-data.s3.ap-south-1 …
The impact of climate change in India, most of the agricultural crops are being badly affected
in terms of their performance over a period of the last two decades. Predicting the crop yield …

Decision-making tool for crop selection for agriculture development

N Deepa, K Ganesan - Neural Computing and Applications, 2019 - Springer
In the present competitive environment, a farmer needs better education, business expertise
and good knowledge of technologies and tools to be successful in agriculture. Farmers …

[PDF][PDF] Crop prediction system using machine learning algorithms

P Patil, V Panpatil, S Kokate - Int. Res. J. Eng. Technol.(IRJET), 2020 - academia.edu
As we are aware of the fact that, most of Indians have agriculture as their occupation.
Farmers usually have the mindset of planting the same crop, using more fertilizers and …