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 …

Interpretation the influence of hydrometeorological variables on soil temperature prediction using the potential of deep learning model

S Elsayed, M Gupta… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
The importance of soil temperature (ST) quantification can contribute to diverse ecological
modelling processes as well as for agricultural activities. Over the literature, it was evident …

Design of feed rate monitoring system and estimation method for yield distribution information on combine harvester

Y Sun, R Liu, M Zhang, M Li, Z Zhang, H Li - Computers and Electronics in …, 2022 - Elsevier
Real-time monitoring of harvester feed rate is of great significance for guiding harvesting
work and improving harvesting efficiency. In this study, a feed rate monitoring system is …

Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges

K Meghraoui, I Sebari, J Pilz, K Ait El Kadi, S Bensiali - Technologies, 2024 - mdpi.com
Agriculture is essential for global income, poverty reduction, and food security, with crop
yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant …

A review on crop yield prediction using machine learning methods

K Ramu, K Priyadarsini - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Agriculture is the backbone of our country, which provides the livelihood for the majority of
the population. In order to deal with current issues such as water shortages, supply that …

Ensemble machine learning approach for agricultural crop selection

A Islam, I Khair, S Hossain, RA Ifty… - 2023 International …, 2023 - ieeexplore.ieee.org
The importance of agricultural earnings and employment in most countries has decreased
with time. That is also true for Bangladesh. Farmers usually design the cultivation process …

Parallelized Inter-Image k-Means Clustering Algorithm for Unsupervised Classification of Series of Satellite Images

S Han, J Lee - Remote Sensing, 2023 - mdpi.com
As the volume of satellite images increases rapidly, unsupervised classification can be
utilized to swiftly investigate land cover distributions without prior knowledge and to …

Enhancing Precision Agriculture with Machine Learning & IoT: SVR and DTR Comparative Analysis

RA Ifty, A Hossain, M Ismail… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
In many nations, including Bangladesh, the importance of agricultural revenue and
employment has dwindled over time. A sizable section of the population works directly in the …

Enabling Data Collection and Analysis for Precision Agriculture in Smart Farms

AK Singh, FNF Junior, NL Mainsah… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This article presents an in-depth exploration of multifaceted efforts in agricultural research
aimed at addressing the unpredictable nature of crop production and related processes …

Project AgriSage Tech: Federated Learning-Driven Agricultural Innovations for Precision Agriculture

RA Ifty - 2024 IEEE 12th Region 10 Humanitarian Technology …, 2024 - ieeexplore.ieee.org
Agriculture in Bangladesh faces numerous challenges, including suboptimal crop selection,
disease susceptibility, frequent natural disasters, fluctuating market prices, budgetary …