Human resource developments with the touch of artificial intelligence: a scale development study

E Kambur, C Akar - International Journal of Manpower, 2022 - emerald.com
Purpose The aim of this study is to develop a reliable and valid scale. At the same time, it is
to reveal the perceptions of HR employees towards artificial intelligence (AI). In addition …

A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial …

U Khan, MK Khan, MA Latif, M Naveed… - Computers …, 2024 - search.ebscohost.com
Recently, there has been a notable surge of interest in scientific research regarding spectral
images. The potential of these images to revolutionize the digital photography industry, like …

Enhancing Intercrop** 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 intercrop** systems is important for optimizing
agricultural productivity. However, accurately predicting yield in such systems is quite …

A performance comparison of classification algorithms for rose plants

M Malik, W Aslam, EA Nasr, Z Aslam… - Computational …, 2022 - Wiley Online Library
One of the key roles of Botanists is to be able to recognize flowers. This role has become
highly challenging given that the number of discovered flower types are nearing half a …

Classification of mixed color rose types using convolutional neural network

F Mujahid, PK Chowdhury, TB Zaman… - … for Industry 5.0 (STI), 2023 - ieeexplore.ieee.org
Roses are one type of thorny flower that has a beautiful smell alongside ornamental
attributes. Roses have more than 150 species, many of which can be differentiated by …

[PDF][PDF] Classification of plants by their fruits and leaves using convolutional neural networks

ME Irhebhude, AO Kolawole… - Science in Information …, 2024 - researchgate.net
Over the years, intelligent systems based on computer vision and machine learning have
been developed for fruit defect detection, ripeness grading, and categorization [1],[2]. The …

[PDF][PDF] Plant Recommendation System with the Use of Weather Forecasting

M Dhamecha - CEUR Workshop Proceedings, 2021 - ceur-ws.org
Planting is enjoyed by many people, but somehow their plants do not grow properly, one of
the reasons for the poor growth of their own plants is the favorable weather conditions for the …

Yağ Gülü (Rosa damascena Mill.) Bitkisinin Hasat Durumunun Makine Öğrenmesi ve Derin Öğrenme Yöntemleri ile Tespiti

B Duman, K Kayaalp - El-Cezeri, 2022 - dergipark.org.tr
Bitkiler uzun yıllardır çoğu sektörde insan hayatında önemli bir yer tutmaktadır. Pembe Yağ
Gülü olarak adlandırılan Rosa damascena Mill. bitkisi, gül çeşitleri arasında kendine özgü …

Enhanced Rose Leaf Disease Classification Using Vision Transformer (ViT-B/16) Detecting Black Spot, Downy Mildew, and Healthy Leaves for Improved Plant Health …

J Sharma - 2024 5th International Conference on Data …, 2024 - ieeexplore.ieee.org
Though they are quite vulnerable to illnesses like Black Spot and Downy Mildew, rose
leaves are essential for photosynthesis and general health of rose plants. Maintaining plant …

Yağ Gülü Hasat Durumunun Belirlenmesi için Siyam Sinir Ağları: Yeni Nesil Bir Bitki Tanıma Sistemi

B Büyükarıkan - Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 2024 - dergipark.org.tr
Bitki biliminde önemli bir alan olan yağ gülünün hasat durumunu belirlemek, doğal yaşamın
anlaşılması ve korunmasında kritik bir rol oynar. Geleneksel yöntemlerle yağ gülünün hasat …