Machine learning and food security: insights for agricultural spatial planning in the context of agriculture 4.0

VJPD Martinho, CAS Cunha, ML Pato, PJL Costa… - Applied Sciences, 2022 - mdpi.com
Climate change and global warming interconnected with the new contexts created by the
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …

Effectiveness of Using Radiology Images and Mask R-CNN for Stomatology

H Jayasinghe, N Pallepitiya… - … on Advancements in …, 2022 - ieeexplore.ieee.org
Dental health-related disorders have proliferated worldwide due to the excessive intake of
fast food and sugary foods, which was followed by bad oral hygiene practices. The cost of …

RANC-CROP recommendation attributed to soil nutrients and stock analysis using machine learning

J Daniel, R Shyamala, R Pugalenthi… - IETE Journal of …, 2023 - Taylor & Francis
Agriculture is India's greatest wealth, which also contributes to the country's economic
development and defines the standard of living for more than 50 percent of the Indian …

Sustainable Growth Through Automation: Machine Learning and Computer Vision Advancements in Sri Lankan Floriculture

SR Liyanage, NSN Basnayake… - … on Advancements in …, 2023 - ieeexplore.ieee.org
The production of floriculture in Sri Lanka is led by the country, with both small and large-
scale businesses being established throughout the island. Various problems are …

Multilingual Web-based Agricultural Decision Support System: Integrating Machine Learning for Accurate Vegetable Price Prediction

JN Rao, N Vineetha, D Dinesh… - … Conference on Inventive …, 2024 - ieeexplore.ieee.org
This research study introduces a comprehensive approach to vegetable price prediction
through a web-based application, combining Flask for the frontend and a Random Forest …

Utilizing Machine Learning for Forecasting Profitable Vegetable Crops and Land Use in Sri Lankan Agriculture

SAH Nethmini, WAC Weerakoon - 2023 7th SLAAI …, 2023 - ieeexplore.ieee.org
The agriculture sector faces numerous challenges, such as the selection of profitable
vegetable crops, the reduction of surplus vegetable stocks, and the minimization of product …

Regression-based Smart Agriculture Prediction.

S Kumar, H Sharma, S Rajput… - … of Engineering & …, 2024 - search.ebscohost.com
Smart agriculture has come to be seen as a potential method for boosting agricultural output
and sustainability. The study primarily focuses on the application of regression algorithms for …