A review on the Imaging Approaches in Agriculture with Crop and Soil Sensing Methodologies

Abstract

Climate change, droughts, and growing food demands are the rising problems in the field of agriculture. Agricultural methodologies need acclimatization to these growing problems with technological innovations. The infrared and visible imaging approaches are substantial to ascertain crop health, temperature and humidity distributions, salinity, water stress, and visible pattern recognition for the widespread areas of agricultural lands. The paper has put forward a review on the viable image processing methods incorporating computer vision, machine learning, infrared and visible imaging, and complex crop and soil nutrient sensing technologies, which are being used to detect the pivotal elements required for the monitoring systems. The discussed approaches and analyses, if implemented, have the prospects of expanding the field of agriculture with the emerging technologies, which would be able to adapt to the rising demand of quality crop productions.