Improving wheat yield prediction integrating proximal sensing and weather data with machine learning

G Ruan, X Li, F Yuan, D Cammarano… - … and Electronics in …, 2022 - Elsevier
Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

[PDF][PDF] Multi-Objective Optimization with Artificial Neural Network Based Robust Paddy Yield Prediction Model.

S Muthukumaran, P Geetha… - Intelligent Automation & …, 2023 - cdn.techscience.cn
Agriculture plays a vital role in the food production process that occupies nearly one-third of
the total surface of the earth. Rice is propagated from the seeds of paddy and it is a stable …

Two-stage spatiotemporal time series modelling approach for rice yield prediction & advanced agroecosystem management

S Rathod, A Saha, R Patil, G Ondrasek, C Gireesh… - Agronomy, 2021 - mdpi.com
A robust forecast of rice yields is of great importance for medium-to-long-term planning and
decision-making in cereal production, from regional to national level. Incorporation of …

Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

MJ Hoque, MS Islam, J Uddin, MA Samad… - IEEE …, 2024 - ieeexplore.ieee.org
The agricultural sector is more vulnerable to the adverse effects of climate change and
excessive pesticide application, posing a significant risk to global food security. Accurately …

Automated H yperparameter Tuned Stacked Autoencoder based Rice Crop Yield Prediction Model

S Thirumal, R Latha - … Conference on Trends in Electronics and …, 2023 - ieeexplore.ieee.org
Rice crop production had greatly contributed to the food security of India, with over 40% of
the entire crop production. Its productivity depends on favourable weather conditions …

Research on Evaluation Methods of Black Soil Farmland Productivity Based on Field Block Scale

Z Zhu, Y Xie - Applied Sciences, 2024 - mdpi.com
Black soil plays an important role in maintaining a healthy ecosystem, promoting high-yield
and efficient agricultural production, and conserving soil resources. In this paper, a typical …

Hybrid model in machine learning–robust regression applied for sustainability agriculture and food security

M Mukhtar, MKM Ali, M Ismail, FM Hamundu… - IJECE, 2020 - eprints.untirta.ac.id
A dataset containing 1924 observations used in this study to evaluate the effect of 435
different independent variables on one dependent variable. Big data has some issues such …

Mining of soil data for predicting the paddy productivity by machine learning techniques

A Antony, R Karuppasamy - Paddy and Water Environment, 2023 - Springer
Crop yield prediction is a challenging task towards precision agriculture. In particular, paddy
is one of the world's significant cereal crops and thus crucial for crop management and …

Utilizing Machine Learning for Forecasting Profitable Vegetable Crops and Land Use in Sri Lankan Agriculture

SAH Nethmini, WAC Weerakoon - 2023 7th SLAAI …, 2023 - ieeexplore.ieee.org
The agriculture sector faces numerous challenges, such as the selection of profitable
vegetable crops, the reduction of surplus vegetable stocks, and the minimization of product …

Weather based paddy yield prediction using machine learning regression algorithms

D Sakthipriya, T Chandrakumar - Journal of …, 2024 - journal.agrimetassociation.org
Paddy is a major crop in India which is highly affected by the weather variables resulting in
drastic reduction of its yield; adverse all the variables drastically reduce the paddy yield. In …