Remote Sensing Related Tools and their Spectral Indices Applications for Crop Management in Precision Agriculture

Abstract


 World population increased rapidly has increased food demands for human and fulfill the food requirements with limited available resources of the planet is a big challenge for Agriculture. Farmers will need to increase the food production, either the increasing the agricultural land or enhancing crop productivity in agriculture by using different crop management practices and adopting new methods like precision farming. Concept of precision agriculture that involves integrating new technologies and field data to accomplish the right input at the right time in the right place. However, the agricultural sector is yet to adopt remote sensing technologies fully due to lack of knowledge on their sufficiency, appropriateness and techno-economic feasibilities. This study based on the research literature that focused on the application of remote sensing tools in precision agriculture on different aspect of crop management from field preparation to crop harvesting, with the objective of contributing to the scientific understanding on the potential for RS technologies to support decision-making within different production stages. Remote sensing tools and spectral vegetation index (normalized difference vegetation index & others) to support crop management and decisions making at different crop growth stages of crop production in precision agriculture, ranging from field preparation, weather, insect pest management, biotic & abiotic stress management and in-season crop health monitoring to harvest.