Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

As the Earth's population continues to grow and demand for food increases, the need for
improved and timely information related to the properties and dynamics of global agricultural …

Previous studies on soil organic carbon content or stock mapping mostly use natural
environmental covariates and do not consider the soil management practice factor …

Rice agricultural practices and hydroperiod dates must be determined to obtain information
on water management practices and their environmental effects. Spectral indices derived …

The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked
seamless integration for multi-sensor and multi-temporal analysis, which is useful for the …

Regular monitoring and mapping of rice (Oryza Sativa) growth phases are essential for
industry stakeholders to ensure food production is on track and to assess the impact of …

Rice is one of the staple foods across the world, thus information about its production is
essential for ensuring food security. Here, our objective was to develop a method for …

Monitoring rice planting areas and their phenological phases is crucial for yield estimation
and informed decision-making. This study proposed a unified method for mapping rice field …

This chapter presents the recent vulnerability assessment project on a rice paddy production
and climate change in Indonesia and attempts to demonstrate a practical framework and …

This study uses remote sensing technology that can provide information about the condition
of the earth's surface area, fast, and spatially. The study area was in Karawang District, lying …