Machine learning-based extrapolation of crop cultivation cost

P Bari, L Ragha - Inteligencia Artificial, 2024 - journal.iberamia.org
It is important to comprehend the relation between operational expenses such as labour,
seed, irrigation, insecticides, fertilizers and manure costs necessary for the cultivation of …

Predictive Analytics in Agriculture: Unraveling the Determinants of Crop Yield with Machine Learning

S Sakib, MR Hossain, SMM Hasan… - … on Computer and …, 2023 - ieeexplore.ieee.org
In the context of Bangladesh, the precision in forecasting crop yields has been enhanced
significantly through the integrative approach of amalgamating historical data …

Automated Tuber Crop Harvesting Using IOT and Intelligent Yield Prediction for Precision Farming

KS Prasanna, RA Reddy, M Srilekha… - … on Networking and …, 2024 - ieeexplore.ieee.org
Agriculture, as the backbone of the nation, is undergoing a transformational journey with the
integration of technology, especially the Internet of Things. This research paper presents an …

A Recent Survey on AI Enabled Practices for Smart Agriculture

S Nimmala, M Ramchander… - 2024 International …, 2024 - ieeexplore.ieee.org
Precision farming, often known as smart agriculture, is gaining a lot of attention due to its
potential to change the agricultural industry. The application of artificial intelligence (AI) in …

Application of ML in Crop Selection for Precision Agriculture

S Dhawale, S Kakade, R Kulkarni… - … Conference on Digital …, 2023 - ieeexplore.ieee.org
Agriculture is a major industry contributing significantly to economic development. It is
essential to study the agriculture system to provide food security. Despite technological …

Analysis on Crop Yield Prediction using various Ensemble Methods

G Hariyani, A Singh, P Patil, V Kothari… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Agriculture is a crucial facet of human existence as it fulfils the primary and fundamental
requirement of sustenance, namely food. Therefore, it is incumbent upon us, as human …

Comparison Analysis of Machine Learning Models for Identification of Pesticide Residue

M Alghawas, S Hilal - … on Data Analytics for Business and …, 2024 - ieeexplore.ieee.org
Pesticides are chemical substances that are regularly used by farmers to enhance crop
yields through controlling pests that harm plants. However, despite the crucial role that …

Na\" ive Bayes and Random Forest for Crop Yield Prediction

A Maazallahi, S Thota, NP Kondaboina… - arxiv preprint arxiv …, 2024 - arxiv.org
This study analyzes crop yield prediction in India from 1997 to 2020, focusing on various
crops and key environmental factors. It aims to predict agricultural yields by utilizing …

Bridging the gap for sustainable crop cultivation using data science applications

J Gopalakrishnan, S Hariharan… - 2023 IEEE North …, 2023 - ieeexplore.ieee.org
Agriculture has long grappled with challenges ranging from unpredictable weather patterns
and resource scarcity to crop diseases and yield fluctuations. However, the advent of data …

The Utilization of Machine Learning Algorithms for Precision Agriculture: Enhancing Crop Selection

S Kakade, R Kulkarni, S Dhawale - Green Intelligent Systems …, 2023 - tecnoscientifica.com
Agriculture stands as a crucial economic driver, playing a pivotal role in fostering economic
progress. Understanding the dynamics of the agricultural system is imperative for ensuring …