[HTML][HTML] Progress in Research on Deep Learning-Based Crop Yield Prediction

Y Wang, Q Zhang, F Yu, N Zhang, X Zhang, Y Li… - Agronomy, 2024 - mdpi.com
In recent years, crop yield prediction has become a research hotspot in the field of
agricultural science, playing a decisive role in the economic development of every country …

[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security

DK Pandey, R Mishra - Artificial Intelligence in Agriculture, 2024 - Elsevier
The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

Developing a sustainable machine learning model to predict crop yield in the Gulf countries

HF Assous, H AL-Najjar, N Al-Rousan, D AL-Najjar - Sustainability, 2023 - mdpi.com
Crop yield prediction is one of the most challenging tasks in agriculture. It is considered to
play an important role and be an essential step in decision-making processes. The goal of …

[HTML][HTML] A study on agricultural commodity price prediction model based on secondary decomposition and long short-term memory network

C Sun, M Pei, B Cao, S Chang, H Si - Agriculture, 2023 - mdpi.com
In order to address the significant prediction errors resulting from the substantial fluctuations
in agricultural product prices and the non-linear features, this paper proposes a hybrid …

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information

B Yang, L Chen, B Yi, S Li - Journal of Hydrology, 2024 - Elsevier
Long-term runoff forecasting (LRF) is great important for water resources management.
Employing accurate local and global climate information can significantly enhance the …

[HTML][HTML] Time series and ensemble models to forecast banana crop yield in Tanzania, considering the effects of climate change

S Patrick, S Mirau, I Mbalawata, J Leo - Resources, Environment and …, 2023 - Elsevier
Banana cultivation plays a pivotal role in Tanzania's agricultural landscape and food
security. Precisely forecasting banana crop yield is essential for resource optimization …

Enhancing Intercropping Yield Predictability Using Optimally Driven Feedback Neural Network and Loss Functions

A Ikram, W Aslam - IEEE Access, 2024 - ieeexplore.ieee.org
Enhancing the crop yield predictability in intercropping systems is important for optimizing
agricultural productivity. However, accurately predicting yield in such systems is quite …

Influencing the variable selection and prediction of carbon emissions in China

Z Chang, Y Jiao, X Wang - Sustainability, 2023 - mdpi.com
In order to study the changing rule of carbon dioxide emissions in China, this paper
systematically focused on their current situation, influencing factors, and future trends. Firstly …

[HTML][HTML] DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data

J Li, Z He, G Zhou, S Yan, J Zhang - Agronomy, 2024 - mdpi.com
Genomic selection serves as an effective way for crop genetic breeding, capable of
significantly shortening the breeding cycle and improving the accuracy of breeding …

Automatic detection of hypertensive retinopathy using improved fuzzy clustering and novel loss function

U Bhimavarapu - Multimedia Tools and Applications, 2023 - Springer
Hypertension retinopathy is a retinal disease caused due to hypertension which leads to
vision loss and blindness. Ophthalmologists use clinical methods to perform the diagnosis …