The profitability of ex-situ straw management largely depends on the quantity and quality of straw recovered from the field. The straw reaper-combine is one of the widely used ex-situ straw management technologies being used to retrieve the leftover residue in the field after grain combine operation. Besides considering the positive implication of this technology in recent times, the quality of operation, which accounts for maximizing the performance parameters of straw reaper-combine in a wheat crop. The relationship among these parameters was established using multiple linear regression techniques through the regression equation. The ANOVA test of this experiment also established the significant (P<0.01) effect of forwarding speed and cutting height on all performance parameters. It was observed from the experiment that when the forward speed was increased while keeping the cutting height at a constant level the recovery percentage and specific energy consumption were decreased whereas, straw split percentage and actual field capacity were increased. Likewise, when cutting height was increased keeping the forward speed at a constant level the recovery and split percentage were reduced but, the actual field capacity and specific energy consumption were increased. In order to achieve maximum performance at optimum energy consumption, the straw reaper should be operated at a speed between 3-4 km/h with cutting height between 30-60 mm.

Background: India is the second largest producer of sugarcane in the world. Uttar Pradesh, Maharashtra, Punjab and Bihar are Indian states have maximum production of sugarcane. During 2019, approximately 307 lakh tonnes of sugarcane was produced in India, which is nearly 11.8 per cent of the global sugarcane production. Sugarcane crop has very long leaves. Stripping of sugarcane leaves is a major problem, which requires labor-intensive effort. Therefore, to resolve this problem, a tractor operated sugarcane stripper machine was designed using the computer aided design (CAD) software. Methods: In main frame of CAD design, a power transmission system, transportation system, feed hopper conveyer, sugarcane de-topper and a stripper system were designed. This machine will reduce human drudgery. Currently, this sugarcane stripper machine is getting very good acceptance nationwide. Further research has been undertaken at Department of Farm Machinery and Power Engineering, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India. This machine was designed. Result: Use of this machine will also help in reducing the cost and time of operation. In future, this machine will help in improving quality of stripping as well as ensuring effective utilization of the resources. The Design and development of sugarcane leaf stripper machine will play a significant role.

In this present research paper analysis of the performance of tractor-operated sugarcane leaf stripper is performed. India is the second-largest producer of sugarcane and Sugarcane is the most prominent cash crop. The sugarcane harvesting process is labour intensive and takes around 850-1000 working man-hours per hectare when sugarcane is harvested manually and de-trashing alone takes 400 man-hours in manual harvesting procedures for removal of tops. Mechanized leaf stripper is developed and fabricated to prevent labour and accident and the performance of the machine is evaluated on MCO-238, K-269 and R-94184 variety of sugarcane. The data regarding de-topping time and stripping rate are taken and the effect of parameters namely Length of, Girth and number of Buds of the stalk are evaluated. The machine was operated at a roller speed of rpm. The results showed that length and number of buds affect the stripping time significantly and the length of stalk and girth of the stalk has a significant impact on the stripping rate. For stripping rate the most dominant and significant factor was the length of the stalk: MOC-238 has 62.35% contribution, K-269 has 78.10% contribution and a case of R-94184 has 60.72% contribution. The second significant factors were girth with the contribution of 33.30%, 20.53% and 36.44% contribution in MCO-238, K-269 and R-94184 varieties respectively. The factor, number of buds remained insignificant.

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The present study was conducted for probability analysis of 17 th years (1994-2010) with the prime objective for prediction of annual maximum rainfall of one to five consecutive months Sultanpur region. The maximum rainfall values were estimated by proposed prediction models viz., Gumbel, Log Pearson Type III and Log Normal. The predicted values were compared with observed values and correlation between the predicted and observed values was also established. Rainfall data had been in the above distributions and their corresponding rainfall events were estimated at 5.5, 11.5, 6.6, 33.3 and 50 per cent probabilities level. The goodness of fit models was tested by chi-square. The comparison between the measured and predicted maximum value of rainfall clearly shows that the developed model can be efficiently used for the prediction of rainfall. The statistical comparison by chi-square test for goodness of fit clearly indicates that the Gumbel distribution was found to be best model for predicting two, three, four and five consecutive months annual maximum rainfalls (mm) while Log Pearson types III are fairly close to observed for one and four consecutive months annual maximum rainfall (mm). Rainfall prediction by Log Normal distribution shows very close relation to the observed rainfall for one consecutive months annual maximum rainfall (mm).