Agronomical research benefits greatly from the use of remote sensing. Understanding the agronomic parameters has been made possible by the evaluation of agricultural crop canopies. Crop classification, yield assessment, and crop monitoring all heavily rely on remote sensing. Agronomical research requires the use of remote sensing since the field is extremely susceptible to changes in soil, climate, and other physico-chemical factors. Strong seasonal patterns are observed in the agricultural production system monitoring in relation to the crops' biological life cycle. Each of these elements varies greatly in both space and time. Furthermore, because of unfavourable growth circumstances, agricultural yield might fluctuate quickly. Observing of agricultural systems have to be adhered to promptly. Remote sensing is an essential tool for timely monitoring and giving a precise picture of the agriculture industry because of its high visit frequency and exceptional precision. Sustainable agriculture management requires a spatiotemporal analysis of all the factors influencing the agricultural industry. The assessment and management of agricultural activities heavily relies on remote sensing and other cutting-edge methods like geographical information systems and global positioning systems. These technologies have numerous multifaceted uses in agriculture, including yield estimation, weather forecasting, crop acreage estimation, crop growth monitoring, soil moisture estimation, soil fertility evaluation, crop stress detection, disease and pest infestation detection, drought and flood condition monitoring, precision agriculture to preserve the sustainability of agricultural systems and boost national economic growth.
Nandeha et al. (Wed,) studied this question.