Hyperspectral imaging-derived vegetation indices (VIs) have rarely been developed to
estimate leaf chlorophyll content of mangrove forests under pest and disease stress …

Over the last decade, the use of unmanned aerial vehicles (UAVs) for plant phenotyping and
field crop monitoring has significantly evolved and expanded. These technologies have …

There are certain growth stages and spectral regions that are optimal for obtaining a high
accuracy in rice yield prediction by remote sensing. However, there is insufficient knowledge …

Assessment of crop nitrogen status is essential for efficient crop growth management.
Existing nitrogen measurements are accurate but destructive, laborious, and time …

Assessment of damage area and yield due to disease in paddy crop are required to be more
precise, quick, and inexpensive. Traditional and satellite approaches of damage …

Multispectral (MS) images offer essential spectral information for monitoring paddy crops'
Aboveground-biomass (AGB), but efficiency decreases due to background materials and …

Over-application of nitrogen fertilizers in farm lands is the main reason to contaminate
nitrogen components in the environment. Nitrogen can play a main role on the plant growth …

Nitrogen (N) is one of the essential nutrients needed for the growth of rice plants. Therefore,
N fertilizing must be applied efficiently to achieve optimal results. Various methods have …

This paper presents a machine learning based, cost effective approach to accurately identify
the Nitrogen fertilizer demand in paddy fields based on the leaf color. A smart mobile phone …

Nitrogen (N) merupakan salah satu unsur hara esensial yang dibutuhkan untuk
pertumbuhan tanaman padi. Oleh karena itu, pemupukan N harus diterapkan secara efisien …