Assessment of the developed unit and weeder performance and evaluation were conducted in vegetable crops. Before the evaluation, a preliminary operation of the machine was carried out within the plants and in rows for each crop to confirm its effective functioning. Specifically, the machine testing focused on vegetable crops, including tomato and chilli, both of which featured an 800 mm working width. These crops were selected with consideration of their row-to-row spacing of 600 mm and plant-to-plant spacing of about 450 mm.
Table 1. Specifications of inter and intra weeder
|
S. No.
|
Particular
|
Specification
|
|
1.
|
Name of machine
|
Inter and Intra Row Weeder
|
|
2.
|
Make
|
TNAU
|
|
3.
|
Model
|
Prototype
|
|
4.
|
Type of machine
|
tractor operated
|
|
6.
|
Overall width of machine, mm
|
850
|
|
7.
|
Overall length of machine, mm
|
850
|
|
7.
|
Overall height of machine, mm
|
550
|
|
8.
|
No. of rows covered
|
1 (intra) 2 (inter)
|
|
9.
|
Type of transmission system
|
The hydraulic system of the tractor
|
|
10.
|
No. of pillow block bearings
|
6
|
|
11.
|
No. of flange bearings
|
1
|
|
12.
|
width of weeding tool, mm
|
58, 78, and 98mm
|
|
13.
|
Type of linkage system
|
3
|
Fig.1. Isometric view of intra-row weeder pivot arm
Weeding efficiency
Weeding efficiency is the proportion of weeds eliminated by a weeder relative to the total number of weeds in a given area, expressed as a percentage. The number of weeds was counted before and after each test, and the procedure was repeated three times. The resulting averages were computed for various forward speeds: 0.84, 0.96, and 1.09 km. h-1at different operating depths (D1, D2, and D3) for chili, tomato, and cotton crops.
Weeding efficiency (%) = X 100 (Kumar et al., 2014) (1)
where,
W1 = Number of weeds before weeding
W2 = Number of weeds after weeding
Fig.2. Measurement of weeding efficacy in the field
Plant damage
It represents the proportion of plants in a row that have been damaged, relative to the total number of plants present, expressed as a percentage. The number of plants in a 30 m field was recorded before and after the operation, replicated thrice, and the average plant damage percentage was calculated at all forward speeds of 0.84, 0.96, and 1.09 km. h-1at D1, D2, and D3 depth of operation levels for chilli, tomato, and cotton crops (Shakya et al., 2016).
Plant damage, (%) = x 100 (Khan and Khan; Khan et al., 2023) (2)
where,
q = Number of plants left in a 30 m length after weeding
p = Number of plants in a 30 m length before weeding
Theoretical field capacity
Theoretical field capacity refers to the maximum capacity or rate at which a machine, such as an inter and intra row weeder, is theoretically capable of covering a field under ideal conditions without considering any operational constraints or interruptions. (Kiran et al., 2014).
Theoretical field capacity, ha.h -1 = (3)
Where,
TFC = Theoretical field capacity, ha. h-1
S = forward speed, km. h-1
W = width of coverage, m
Effective field capacity
Adequate field capacity is the practical average speed at which the weeder covers the field, taking into account the total time spent operating, and is expressed as (Hossen et al., 2014).
Ceff = (4)
Where,
Ceff = effective field capacity, ha. h-1
A = Field coverage, ha
T = Actual time of operation, hr
Field efficiency
Field efficiency is calculated as the ratio of the effective field capacity to the theoretical field capacity. The field capacity is determined using the following formula (Ragesh et al., 2018).
Field efficiency Ef = ×100 (5)
Where,
Ef= Field efficiency, %
EFC = Effective field capacity, ha. h-1
TFC = Theoretical field capacity, ha. h-1
Performance Index
The weeder's performance was evaluated using the Performance Index (PI), employing the following relationship as proposed by the Performance Index (Srinivas et al., 2010).
𝑃𝐼 = (7)
Where,
FC = Field capacity, ha/hr
PD = Plant damage, %
WE= Weeding efficiency, %
P = Power, hp.
Fig.3. Assessment of pivot arm in field conditions
Cost economics of inter and intra-weeder
In the realm of agricultural equipment design, cost-effectiveness is a paramount consideration. The objective is to create machinery that not only exhibits optimal field performance but also minimizes expenditure. Hence, the economic viability of both inter-row and intra-row weeders was evaluated using the straight-line method. The operational expenses of the newly against those of the developed inter-row and intra-row weeders, which were compared with those of the manual weeding approach. Fixed and variable costs associated with utilizing the prototype weeder per hour were determined following the procedure outlined in IS: 9164-1979. By extrapolating the field capacity of the inter-row and intra-row weeders, the operational cost per hectare was computed. This figure was then contrasted with the cost incurred through manual weeding. The cost-effectiveness of the weeder, compared to manual weeding, was quantified as the amount saved.
Determination of break-even point
Conducted to determine the point at which profit and loss balance out, the break-even analysis gauges the required duration of work at a given price to cover all costs and expenditures. The break-even point is marked by the juncture where the total cost line intersects the custom hiring cost line. If the break-even point falls below the machinery's annual utility time, owning the equipment proves advantageous for the farmer. Conversely, if the break-even point exceeds the machinery's annual utility time, machinery ownership could result in losses; in such cases, opting for custom hiring becomes a more viable choice for the farmer.
Payback period
The payback period is the time required for an investment to recover its initial cost through annual cash inflows. The calculation of the payback period involves the following formula. Typically, this period is expressed in years for farm machinery (Venkat et al., 2021).
Payback period = (8)
Where,
The average net annual benefit, Rs = (CHC – TOP) × Annual utility
CHC = Custom hiring charge, Rs.h-1 = (25 % over total cost of operation Rs.h-1)
TOP = Total operating cost
Theoretical field capacity
The interrelationship between forward speed and theoretical field capacity in weeding operations is evident in Fig. 4. As forward speed increases, the theoretical field capacity also tends to rise. This relationship is intuitive: higher speeds enable the machine to cover more ground in the same amount of time, thereby increasing theoretical field capacity. For instance, when the forward speed increases from 0.84 km.h-1 to 0.96 km.h-1, the field capacity goes up from 0.0672 ha.h-1 to 0.0768 ha.h-1, and further increases to 0.0872 ha.h-1at 1.09 km.h-1. This connection underscores the importance of selecting an appropriate forward speed to optimize productivity and efficiency during weeding,, as it directly affects the weeding operation's ability to complete work within a given time frame.
Fig.4.Effect of forward speed on theoretical field capacity
Effective field capacity
The connection between forward speed and adequate field capacity in weeding operations becomes apparent when examining Fig.5. As the forward speed accelerates, the adequate field capacity shows a corresponding increase. This correlation is quite intuitive: higher speeds allow the machine to cover a larger area in the same time frame, resulting in a noticeable boost in practical field capacity. For instance, when the forward speed rises from 0.84 km.h-1 to 0.96 km.h-1, the field capacity increases from 0.063 ha.h-1(Olaoye and Adekanye, 2006) to 0.0695 ha.h-1, and it continues to climb, reaching 0.07725 ha.h-1 at a speed of 1.09 km.h-1. This relationship underscores the pivotal role of selecting an appropriate forward speed to optimize efficiency and productivity during weeding operations, as it directly impacts the amount of work that can be completed within a given time frame.
Fig.5. Effect of forward speed on adequate field capacity
Field efficiency
The minimum field efficiency, i.e., 88.6 % was found with F3(1.09 km.h-1). Maximum field efficiency, i.e., 94.2% (Hegazy et al., 2014) was found with F1(0.84 km.h-1) forward speed but optimum field efficiency of 90.1% at forward speed of 0.96 km.h-1. The results conclude that forward speed increases, while field efficiency decreases (Fig. 6).
Fig.6. Effect of forward speed on-field efficiency
4.4.8 Performance index
The Performance Index is found to be a maximum of 481.8 at a forward speed is 1.09 km.h-1and the minimum performance index is 400.8 at a forward speed of 0.84 km.h-1 as shown in (Fig.7). The performance Index directly depends on the practical field capacity, plant damage, and weeding efficiency and indirectly depends on the power of the weeder.
Fig.7. Performance index of inter-intra row weeder
Table 2. Average wheel slip
|
S. No.
|
Particulars
|
Test No.
|
Average
|
Slip
|
|
T1
|
T2
|
T3
|
|
1
|
Distance Covered in 10 revolutions under no load, m
|
22.6
|
22.5
|
20.3
|
21.8
|
9.17%
|
|
2
|
Distance Covered in 10 revolutions under load, m
|
19.5
|
20.2
|
19.8
|
19.8
|
Cost economics of inter- and intra-row weeder
Nowadays, there is a significant shortage of labour for manual weeding, resulting in considerably longer time required to weed each hectare. With the introduction of the developed inter- and intra-row weeder, the time required to weed 1.0 hectare of land has been reduced to 13.1 hours. This innovative approach has led to a weeding cost of ₹2803 per hectare. Compared with traditional weeding methods, the inter- and intra-row weeding technique has achieved an impressive 88% reduction in time and a 40.9% reduction in weeding costs. The payback period for the machine has been calculated at 3.15 years, with a favourable B-C ratio of 3.17.
The implementation of the developed inter- and intra-row weeder has not only significantly reduced the time and cost of weeding compared to traditional methods but has also proven economically feasible. Additionally, it addresses labour scarcity, reducing reliance on manual weeding and alleviating associated challenges.
To put it succinctly, the developed weeder has resulted in substantial cost savings of ₹15684.8 per hectare, translating to a 40.9% reduction in weeding expenses when compared to conventional methods. The inter- and intra-row weeder requires only 13.1 hours for weeding, a remarkable improvement over the 130 hours needed for traditional weeding of a 1-hectare area, as tabulated in .3.
Table 3. Inter and Intra row weeding and traditional weeding method
|
S. No.
|
Particular
|
inter and intra row weeding
|
Traditional weeding method
|
Increase /decrease over manual weeding (%)
|
|
X
|
Y
|
X 100
|
|
1.
|
Total time required, man-h/ha
|
13.1
|
103
|
-88%
|
|
2.
|
Total cost of weeding, ₹/ha
|
2803
|
5687.5
|
-40.9%
|
|
4.
|
Payback period, years
|
3.15
|
-
|
-
|
|
5.
|
B-C ratio
|
3.17
|
-
|
-
|