NDVI is a commonly used index in remote sensing that measures the amount of vegetation cover in an area. These sensors can detect and measure various characteristics of the earth's surface, such as temperature, humidity, and vegetation cover. Remote sensing is the process of collecting and analyzing data about the earth's surface using sensors mounted on aircraft or satellites. we will explore the use of NDVI in conjunction with remote sensing and GIS to estimate crop yields. One of the most commonly used indices in remote sensing for crop yield estimation is the normalized difference vegetation index (NDVI). ![]() Remote sensing and geographic information systems (GIS) are powerful tools that can be used to estimate crop yields with a high degree of accuracy. ![]() ![]() Accurate and timely yield estimates can help farmers make informed decisions about planting, fertilization, irrigation, and harvest timing. Crop yield estimation is a crucial aspect of agricultural management and planning.
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