Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

The frequent occurrence of global climate change and natural disasters highlights the
importance of precision agricultural monitoring, yield forecasting, and early warning …

The applicability of remote sensing enables the prediction of nutritional value, phytosanitary
conditions, and productivity of crops in a non-destructive manner, with greater efficiency than …

An efficient and accurate estimation of wheat growth and yield is important for wheat
assessment and field management. To improve the accuracy and stability of wheat growth …

Accurate estimation of leaf area index (LAI) is hindered by challenges in capturing crop-
specific spectral variability and integrating complex model-data relationships. To address …

Automatically identifying key physiological factors in plants, such as leaf relative humidity
(LRH), chlorophyll content (Chl), and nitrogen levels (N), is vital for effective aeroponic …

Map** wetland ecosystems at the species level provides critical information for
understanding the nutrient cycle, carbon sequestration, retention and purification of water …

Kinnow also known as mandarin are popular fruits worldwide for their refreshing flavor and
nutritional benefits. Their quality standards vary globally due to differences in climatic …

Energy production is one of the key enablers for human activities such as food and clean
water production, transportation, telecommunication, education, and healthcare; however, it …

Bioenergy offers a sustainable alternative to fossil fuels, addressing energy security and
climate change concerns. This paper reviews the current landscape of machine learning …