[HTML][HTML] Artificial intelligence techniques in crop yield estimation based on Sentinel-2 data: A comprehensive survey

MF Aslan, K Sabanci, B Aslan - Sustainability, 2024‏ - mdpi.com
This review explores the integration of Artificial Intelligence (AI) with Sentinel-2 satellite data
in the context of precision agriculture, specifically for crop yield estimation. The rapid …

[HTML][HTML] GIS-based cropland suitability prediction using machine learning: A novel approach to sustainable agricultural production

D Radočaj, M Jurišić - Agronomy, 2022‏ - mdpi.com
The increasing global demand for food has forced farmers to produce higher crop yields in
order to keep up with population growth, while maintaining sustainable production for the …

Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning

A Bhullar, K Nadeem, RA Ali - Scientific Reports, 2023‏ - nature.com
Land suitability models for Canada are currently based on single-crop inventories and
expert opinion. We present a data-driven multi-layer perceptron that simultaneously predicts …

[PDF][PDF] Adoption of smart farming technology among rice farmers

NBK Zaman, W Raof, AR Saili, NN Aziz… - Journal of Advanced …, 2023‏ - academia.edu
Integrated Agriculture Development Area. This study will employ qualitative methods and
interviews will be conducted. This study is urgently needed due to the twofold agenda …

[HTML][HTML] Cropland suitability assessment using satellite-based biophysical vegetation properties and machine learning

D Radočaj, M Jurišić, M Gašparović, I Plaščak… - Agronomy, 2021‏ - mdpi.com
The determination of cropland suitability is a major step for adapting to the increased food
demands caused by population growth, climate change and environmental contamination …

[HTML][HTML] Potential application of GIS and remote sensing to evaluate suitable site for livestock production in Northwestern part of Bangladesh

MMSP Rana, M Moniruzzaman - Watershed Ecology and the Environment, 2023‏ - Elsevier
The livestock resources of Bangladesh are under tremendous strain due to several natural
and anthropogenic causes. Especially in the Northwestern region of Bangladesh, these …

European Union crop map 2022: Earth observation's 10-meter dive into Europe's crop tapestry

B Ghassemi, E Izquierdo-Verdiguier, A Verhegghen… - Scientific Data, 2024‏ - nature.com
To provide the information needed for a detailed monitoring of crop types across the
European Union (EU), we present an advanced 10-metre resolution map for the EU and …

[HTML][HTML] An assessment of drought stress in tea estates using optical and thermal remote sensing

AC Das, R Noguchi, T Ahamed - Remote Sensing, 2021‏ - mdpi.com
Drought is one of the detrimental climatic factors that affects the productivity and quality of
tea by limiting the growth and development of the plants. The aim of this research was to …

Soil classification and crop prediction using machine learning techniques

T Goswami, DM Ganapathi, P Goswami - intelligent robots and drones for …, 2024‏ - Springer
Population growth at a faster pace has resulted in the loss of agricultural land due to
urbanization, generating a strong demand for food. Conventional crop production …

A GIS framework to demarcate suitable lands for combine harvesters using satellite dem and physical properties of soil

MM Rahman, M Kamruzzaman, S Shahid… - … of Geovisualization and …, 2023‏ - Springer
Rice harvesting in Bangladesh is impacted by the absence of advanced harvesting
technologies, high labor costs, and natural calamities, which frequently interrupt the …