Crop prediction model using machine learning algorithms

E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com
Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

Smart agriculture monitoring and controlling system using multi-agents model

T Humoud, M Alrushoud, F Almutairi… - … Conference on Bio …, 2023 - ieeexplore.ieee.org
Agricultural fields occupy huge surfaces in Kuwait specially in the desert where climate
heavily affects the workers, the quality, and the quantity of the agricultural crops. Most of …

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 …

Crop Prediction to Aid Farmers using Hybrid Model

J Lahari, V Lavanya… - 2024 8th International …, 2024 - ieeexplore.ieee.org
This study used Machine Learning (ML) algorithms to predict the suitable crop by inputting
the potassium, nitrogen, phosphorous ratios, humidity, rainfall, and soil type. The data are …

Revolutionizing agriculture with machine learning

P Naik, P Bharath, DB Damodhar… - AIP Conference …, 2024 - pubs.aip.org
Agriculture is a vital industry that contributes to global economic growth and development.
But, farmers face challenges, such as crop selection, profitability, and technology, which …

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 …

Crop Yield Prediction in India: A Comparative Analysis of Ensemble

A Waghela, D Makadia, P Sheth… - Deep Learning and …, 2024 - books.google.com
Approximately 20% of India's 1.36 billion citizens are farmers, and for over 50% of the
country's population, agriculture is their primary source of income. India is a major producer …

Enhancing Agricultural Decision-Making: A Supervised Machine Learning Approach

S Jisnu, JD Dharaneesh, A Krishneth… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Agriculture in India is becoming an undesirable livelihood for many considering the
uncertainty of making a profit due to either crop failure or an unfavorable market. The …

Precision crop prediction using IoT-enabled soil sensors and Machine Learning

VA Binson, S Thomas, G Manju, SK KS - ITEGAM-JETIA, 2024 - itegam-jetia.org
This paper introduces a cutting-edge approach for crop prediction that harnesses IoT-
enabled soil sensors and machine learning models, specifically targeting cardamom, black …

Crop Yield Prediction in India: A Comparative Analysis of Ensemble Techniques

A Waghela, D Makadia, P Sheth, M Mangla… - … Conference on Deep …, 2024 - Springer
This study focuses on solving several problems associated with Indian agriculture, which is
a lifeline for 64% population in India. The sector is very wide with vast arable land, yet, the …