**5. Conclusion**

Tillage, an integral component of crop production systems, exists with agricultural practice. It affects crop growth and yield. Different field experiments conducted by researchers on the effect of different tillage systems for predicting growth and yield of crops have been discussed. It has been revealed that estimating plant yield has comprehensive inferences for economics, ecology and human welfare. Moreover, a number of factors determining crop productivity make modeling crop production a challenging task. Forecasting crop production is more challenging, requiring making inferences on future performance based on past conditions. Farmers always try to focus on yield as soon as cropping activities commence. Finite model equations for predicting crop growth and yield are better than using farmer's previous experience on a particular crop. The chapter discussed how different tillage systems including conventional, conservative, reduced, zero tillage or direct seeding, mulch-tillage, ridge-tillage, stale seedbed, minimum tillage and strip-tillage are used in predicting crop growths and yields. Notable models for predicting growth and yield of crops using different tillage systems were highlighted. It is recommended that modern farming should utilize model equations for estimating crop growth and yield using soil physical properties, climate conditions and relevant parameters of appropriate tillage systems for improvement in the production of crops depending on soil types.
