Agricultural productivity is constantly being forced to maintain yield stability to feed the enormously growing world population. However, shrinking arable and nutrient-deprived soil and abiotic and biotic stressor (s) in different magnitudes put additional challenges to achieving global food security. Though well-defined, the concept of macro, micronutrients, and beneficial elements is from a plant nutritional perspective. Among various micronutrients, selenium (Se) is essential in small amounts for the life cycle of organisms, including crops. Selenium has the potential to improve soil health, leading to the improvement of productivity and crop quality. However, Se possesses an immense encouraging phenomenon when supplied within the threshold limit, also having wide variations. The supplementation of Se has exhibited promising outcomes in lessening biotic and abiotic stress in various crops. Besides, bulk form, nano-Se, and biogenic-Se also revealed some merits and limitations. Literature suggests that the possibilities of biogenic-Se in stress alleviation and fortifying foods are encouraging. In this article, apart from adopting a combination of a conventional extensive review of the literature and bibliometric analysis, the authors have assessed the journey of Se in the "soil to spoon" perspective in a diverse agroecosystem to highlight the research gap area. There is no doubt that the time has come to seriously consider the tag of beneficial elements associated with Se, especially in the drastic global climate change era.

Plant diseases cause significant damages to the crops and threatens global food security. Delay in detection and diagnosis of diseases often increase their severity and the extent of yield loss. Therefore, early disease detection is the need of the hour to save the crop production. Conventional methods of disease detection mostly relied on manual crop scouting and expertise of the farmers and researchers for the detection of the symptoms and diagnosis of the diseases as early as possible. However, there is often delay as the visible symptoms appear only after a certain stage of infection. Recent advances in hyperspectral remote sensing, unmanned aerial vehicles (UAVs), and artificial intelligence (AI) have created new opportunities for early disease detection and precise crop management. The current chapter critically explores the applications of remote sensing along with the deployment and evolution of modern AI/ML technologies in early plant disease detection, and future trajectories.