Remote sensing vis a vis ground truthing in agricultural crops for growth and stress identification

Abstract

Crop health status forms a crucial part of agriculture risk management, which decides the growth and production potential of particular crop. From which time-to-time monitoring of crop health is required during the life cycle of plant from its germination to grain maturity. This helps in the fulfillment of plant needs whether it is soil related (nutrient requirements, such as N, P, and K), irrigation demand, and protection needs such as herbicide and pesticide. To maintain such decorum of plant health and vigor point data (location or plant-specific data) is much more required for the precision agriculture. This information is thus acquired from the ground truthing and through surveying of the area being targeted used in the management and strategic planning of the problem studying. In agriculture and many other sectors, such as water shade delineation, mapping and management, soil resource mapping and monitoring, land degradation mapping, weather forecasting, crop area estimation, and digital soil mapping, remote sensing has become a potentially useful tool with technological advancements for monitoring and location mapping. The potential of remote sensing is well known among us to create a data pool for various sectors to extract useful information for decision-making and solution implementation. Agriculture or our crop cultivation is susceptible to different biotic (insect, pest, and diseases) and abiotic (temperature, precipitation, and soil health) factors that lead to put out effort in farming at risk. To handle these stresses point information about crop that is, plant being affected by stress, factor identification causing stresses and its contamination potency, how to manage such stresses are much needed input. The information thus obtained cross-validated with the remote sensing images by analysis and interpretation and finally implemented in the decision support system. So such system can be possible by integration of remote sensing and GPS-based ground truthing could be adopted in the present and near future. © 2024 Elsevier Inc. All rights reserved.