Bald eagle search algorithm: a comprehensive review with its variants and applications

MA El-Shorbagy, A Bouaouda, HA Nabwey… - Systems Science & …, 2024 - Taylor & Francis
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

A novel CNN gap layer for growth prediction of palm tree plantlings

TA Kumar, R Rajmohan, S Adeola Ajagbe, T Gaber… - Plos one, 2023 - journals.plos.org
Monitoring palm tree seedlings and plantlings presents a formidable challenge because of
the microscopic size of these organisms and the absence of distinguishing morphological …

Hybrid deep WaveNet-LSTM architecture for crop yield prediction

BS Devi, N Sandhya, KS Chatrapati - Multimedia Tools and Applications, 2024 - Springer
Navigating the complex landscape of 21st-century agriculture involves overcoming
numerous obstacles, such as changing dietary trends, food safety issues, and health …

ConvColor DL: Concatenated convolutional and handcrafted color features fusion for beef quality identification

B Büyükarıkan - Food Chemistry, 2024 - Elsevier
Beef is an important food product in human nutrition. The evaluation of the quality and safety
of this food product is a matter that needs attention. Non-destructive determination of beef …

Severity of natural calamities and crop yield prediction using hybrid deep learning model in Uttar Pradesh

R Kumar, RP Mahapatra - World Water Policy, 2024 - Wiley Online Library
Crop yield prediction has gained major potential for global food production. Predicting crop
yields based on specific parameters like soil, environment, crop, and water has been an …

[HTML][HTML] A Temporal–Geospatial Deep Learning Framework for Crop Yield Prediction

L Wang, Z Chen, W Liu, H Huang - Electronics, 2024 - mdpi.com
With the rapid development of information technology, the demand for digital agriculture is
increasing. As an important agricultural production topic, crop yield has always attracted …

[PDF][PDF] PREDICTING WHEAT YIELD IN AGRICULTURAL INDUSTRY USING DEEP LEARNING TECHNIQUES: A REVIEW

P Bari, L Ragha - Nigerian Journal of Technology, 2024 - nijotech.com
In the post-pandemic future, technology in the agriculture industry can improve food
sustainability while moderating the use of resources of nature in a variety of conditions …

[PDF][PDF] Optimizing Agricultural Outcomes: Machine Learning in Crop Yield Prediction

S Alam, M Abbas, A Khan, A Khaliq - 2024 - researchgate.net
Given that agricultural yields are unpredictable and conventional farming is susceptible to
risky climate and natural catastrophes, major natural tragedies have the potential to reduce …

[PDF][PDF] Yield Prediction using Machine Learning for Agriculture Insurance

R Kumar, RP Mahapatra - technoaretepublication.org
India has achieved self dependency in food grain production by using modern technologies
and better scientific approaches for cultivation. Beside this framers are less dependent on …