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 …
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 …
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 …
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 …
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 …
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.
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 …
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 …
climate change (CC) impact category on beekeeping was performed. To this aim, for two …
Bearing fault detection system based on a deep diffusion model
Bearings are crucial components of modern high-precision machinery and rotating
machines. Excellent bearing failure detection systems are vital for ensuring that machines …
machines. Excellent bearing failure detection systems are vital for ensuring that machines …
Improving Stock Price Prediction Accuracy With StacBi LSTM
This research aimed to enhance stock price prediction accuracy using the Stacked
Bidirectional Long Short-Term Memory (StacBi LSTM) model. The study addressed the …
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 …
weather data is an important consideration for crop yield models. This study uses an …