Data analytics in farming: rice price prediction in Andhra Pradesh

PCS Reddy, G Suryanarayana… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The variances regarding prices of horticultural commodities adversely affect the nations
GDP. The ranchers are genuinely and monetarily influenced as their long stretches of …

Monitoring honeybees (Apis spp.) (Hymenoptera: Apidae) in climate-smart agriculture: A review

MZ Sharif, N Di, F Liu - Applied Entomology and Zoology, 2022 - Springer
Climate change is a major threat to agriculture production among small-scale farms
worldwide. Climate-smart agriculture (CSA) is one of the technologies and strategies to …

Internet of things and machine learning applications for smart precision agriculture

R Sivakumar, B Prabadevi, G Velvizhi… - IoT Appl …, 2022 - books.google.com
Agriculture forms the major part of our Indian economy. In the current world, agriculture and
irrigation are the essential and foremost sectors. It is a mandatory need to apply information …

A guide for quality control of honey: Application of UV–vis scanning spectrophotometry and NIR spectroscopy for determination of chemical profiles of floral honey …

A Nunes, GZ Azevedo, BR dos Santos, MSM de Liz… - Food and …, 2023 - Elsevier
This study aimed to determine the chemical profile of floral honey by ultraviolet and visible
spectrophotometry (UV–vis) and near-infrared (NIR) vibrational spectroscopy, and via …

A machine learning approach to forecasting honey production with tree-based methods

A Brini, E Giovannini, E Smaniotto - arXiv preprint arXiv:2304.01215, 2023 - arxiv.org
The beekeeping sector has undergone considerable production variations over the past
years due to adverse weather conditions, occurring more frequently as climate change …

A review on internet of things-based stingless bee's honey production with image detection framework.

S Rohafauzi, M Kassim, H Ja'afar… - … Journal of Electrical …, 2024 - search.ebscohost.com
Honey is produced exclusively by honeybees and stingless bees which both are well
adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for …

Greenhouse Gas (GHG) Emissions from Honey Production: Two-Year Survey in Italian Beekeeping Farms

A Pignagnoli, S Pignedoli, E Carpana, C Costa… - Animals, 2023 - mdpi.com
Simple Summary A life cycle assessment (based on ISO 14040 and 14044) considering the
climate change (CC) impact category on beekeeping was performed. To this aim, for two …

Bearing fault detection system based on a deep diffusion model

HT Yau, PH Kuo, SY Yu - Structural Health Monitoring, 2024 - journals.sagepub.com
Bearings are crucial components of modern high-precision machinery and rotating
machines. Excellent bearing failure detection systems are vital for ensuring that machines …

Improving Stock Price Prediction Accuracy With StacBi LSTM

M Diqi, H Hamzah - Jiska (Jurnal Informatika Sunan Kalijaga …, 2024 - ejournal.uin-suka.ac.id
This research aimed to enhance stock price prediction accuracy using the Stacked
Bidirectional Long Short-Term Memory (StacBi LSTM) model. The study addressed the …

Spatial and temporal validation of in-situ and satellite weather data for the South West Agricultural Region of Australia

T Campbell, P Fearns - Journal of Meteorological Research, 2022 - Springer
Seasonal variations in weather have significant impacts on crop yields. The accuracy of
weather data is an important consideration for crop yield models. This study uses an …