development and testing of a portable palm tree pruning machine
development and testing of a portable palm tree pruning machine
development and testing of a portable palm tree pruning machine
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variables. The regression model is indicated in equation 2. As shown, the cutting power required<br />
for fresh petioles (60-75% MC) is 12 W/cm 2 while it is 27 W/cm 2 at more dry petioles (about<br />
17% MC).<br />
P = 32.17 − 0.3145 MC, R<br />
2 = 0.86<br />
(2)<br />
where: MC= petiole moisture content, %<br />
P= power required to cut 1 cm 2 <strong>of</strong> petiole cross section area (W).<br />
Fig. 5 shows that the required time <strong>of</strong> petiole cutting is proportional to the petiole MC.<br />
The R 2 <strong>of</strong> this relationship was found to be 0.81 suggesting a linear relationship. The regression<br />
model is indicated in equation 3. As shown in Fig. 5, the fresh cut petioles <strong>of</strong> 60 to 75% MC<br />
required a cutting time <strong>of</strong> at least 3 sec/cm 2 while the dried cut petioles <strong>of</strong> 5 to 15% MC required<br />
about 0.9 sec/cm 2 . Clearly, the fresh cut petioles required more time than the dried ones. This is<br />
attributed to the fact that moisture makes petiole fibers stronger <strong>and</strong> more tied to each other.<br />
Thus, the petiole becomes more resistant to cutting.<br />
T = 0.4187 + 0.0432 MC, R<br />
2 = 0.81<br />
(3)<br />
where: T= time required for cutting (sec/cm 2 ),<br />
MC= petiole moisture content, %.<br />
Figure 6 shows that the energy required for cutting is proportional to the petiole MC.<br />
Obviously, increasing petiole moisture content increased the cutting energy due to increasing<br />
cutting time. Again, the fresh petioles <strong>of</strong> 60 to 75% MC required a cutting energy <strong>of</strong> 30 to 35<br />
W.sec/cm 2 , while the dried petioles <strong>of</strong> 5 to 15% MC required 12 to 15 W.sec/cm 2 . The R 2 value<br />
<strong>of</strong> the relationship was 0.71 suggesting a linear relationship. The regression model is indicated in<br />
equation 4.<br />
E = 7.13 + 0.399 MC, R<br />
2 = 0.71<br />
(4)<br />
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