Author(s): Mamta Rani

Abstract: The increasing complexity and volume of agricultural data necessitate advanced analytical tools capable of extracting meaningful insights. Among various signal processing techniques, the wavelet transform has proven especially effective in handling non-stationary, multiscale, and noisy data commonly found in agricultural systems. This paper reviews the theoretical foundations and practical applications of wavelet transform in agricultural sciences. Applications in remote sensing, soil and moisture analysis, crop monitoring, climate modeling, pest detection, and precision agriculture are discussed in depth. Furthermore, the paper addresses current challenges and future research directions, emphasizing the transformative potential of wavelets in smart and sustainable agriculture.

Pages: 33-36 | Views: 154 | Downloads: 11

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