Rice Equivalent Crop Yield Assessment Using MODIS Sensors’ Based MOD13A1-NDVI Data

A Machine Learning-Based Approach for Land Cover Change Detection Using Remote Sensing and Radiometric Measurements

“…Compared to conventional mapping techniques, like photo-interpretation, spatial remote sensing (passive/ active) has incontestable advantages in terms of cost, speed, and the covered area [2]- [4]. In particular, satellite remote sensing plays a crucial role in agriculture management and planning, which is an important pillar for economic growth of countries [5], [6].…”

Wavelet for Predicting Soil Nutrients using Remotely Sensed Satellite Images

“…This makes ease of predicting soil nutrients, especially in agriculture based countries like India [3]. Since these methods are nondestructive and computationally efficient, they gain wide attention recently [7].…”

Study and Analysis of HySi Data in 400 to 500 nm VNIR Spectrum for Precision Agriculture

“…The analysis of multispectral image depend upon shape ,texture and spectral property in few wavelength band in which image is acquired so it is not possible to identify the unique material or any element in soil [9] [10]. For this purpose hyperspectral remote sensing is used which provide the spectral characteristic of the object .Hyperspectral image are spectrally over determine due to that it is easy to identify & distinguish the object which is spatially similar looking but having spectral changes [11][12] [15].The hyperspectral remote sensing era began in 1970 .where AVIRIS was propose to NASA in 1983 .which on aircraft platform, where the first space born Hyperion sensor have 10 nm bandwidth & give the range of 400-2500 m [14].…”