Precision Agriculture (PA) has undergone a remarkable transformation in recent decades
due to the rapid evolution of technologies to optimize farming practices. CubeSats (CS) …

Weed infestations pose significant challenges to global crop production, demanding
effective and sustainable weed control methods. Traditional approaches, such as chemical …

The handling of the remnants of rice crops in the field is not an easy operation, and farmers
prefer burning, which causes air pollution, smog, and disease. This research reports the …

This study explores the interplay between nitrogen doses and seeding rates on wheat yield,
biomass, and protein content. Utilizing tools such as the Normalized Difference Vegetation …

Precision agriculture requires accurate methods for classifying crops and soil cover in
agricultural production areas. The study aims to evaluate three machine learning-based …

This study explored how to use UAV-based multi-spectral imaging, a plot detection model,
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …

Durum wheat (Triticum turgidum ssp. durum) is globally cultivated for pasta, couscous, and
bulgur production. With the changing climate and growing world population, the need to …

Multispectral imaging has gained increased attention in recent years for monitoring and
predicting crop-related characteristics. Vegetation indices can provide valuable insight into …

In recent times, there has been an increasing demand for the development of rapid and non-
destructive assessment of the growth and quality of seedlings before transplanting. This …

The Mediterranean agriculture sector is vulnerable to abiotic and biotic stresses of diverse
nature, with wheat (Triticum aestivum. L.) being by area extension one of the most important …