To the multi-sensor detection system

its measurement information is non-linear and spatiotemporal variation

etc.so the basic requirement of information fusion method is robust and parallel processing capabilities.In this paper

the wavelet analysis theory is applied to denoise the original data

which makes the data after denoising is better to reflect the nature of soil and its Variation Law.Robust least squares estimation technique can be integrated with different sensors data

to remove redundancy

to overcome the ambiguity

so it can obtain more comprehensive

more accurate and reliable information than any single sensor.Considering highly uncertain and empirical of the natural environment in farmland soil

the information fusion estimation method based on wavelet denoising and robust least squares is proposed.The analysis of experimental results shows that the method is feasible and worth studying.