Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

Abstract The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which
may be used for acquiring solutions towards better crop management. The applications of …

The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

The effects of topography, land cover type, and soil physicochemical properties on the
distribution of soil organic carbon (SOC) and total nitrogen (TN) have drawn growing …

Under ideal conditions of nitrogen (N), maize (Zea mays L.) can grow to its full potential,
reaching maximum plant height (PH). As a rapid and nondestructive approach, the analysis …

With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms
have developed from the initial ground-based and airborne platforms into spaceborne …

The traditional method of measuring nitrogen content in plants is a time-consuming and
labor-intensive task. Spectral vegetation indices extracted from unmanned aerial vehicle …

Determining maize water content variability is necessary for crop monitoring and in
developing early warning systems to optimise agricultural production in smallholder farms …

Under changing climate and burgeoning food production demands, climate-smart
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …

Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …