Vinod Sharma and
Raghav Kapoor Adlakha
lead a focus group discussion on the soil health card for IDinsight’s NITI Agriculture project in Dhubri, Assam.
One of the biggest challenges farmers in India face is ensuring that their soil is healthy — enabling sustained high crop yields. India’s total fertiliser consumption is less than the global average but it is the second-largest consumer of urea (a nitrogen-based fertilizer) in the world. To address this, the government of India launched the Soil Health Card (SHC) Scheme, providing every farmer in India with a customised set of crop-specific fertiliser recommendations that would ensure the long-term productivity of their soil. These recommendations are printed on cards and distributed by agricultural extension workers who are expected to explain the general purpose and recommendations of the card to farmers.
However, in a qualitative study conducted in 2018 covering about 450 farmers, we found that across eight districts, overburdened extension workers are unable to adequately explain soil health card recommendations to farmers. Rather than individually visiting each farmer, extension workers often distribute cards en masse in villages.
Experimental evidence from Gujarat, authored by Shawn Cole and Garima Sharma of Precision Agriculture for Development (PAD), suggests that supplementing an in-person explanation of the card with either audio recordings or video clips may enhance farmers’ understanding. Compared to in-person extension, both audio and video performed equally well in terms of improving comprehension and eliciting farmers’ trust in the recommendations. This is insight is particularly useful because in-person interactions are more expensive than remote options.
Recently, IDinsight conducted several ICT-based campaigns with farmers. We found that pick-up rates among farmers spike at particular times over the course of the day (ranging from 9.30 AM to 8.30 PM) and that call-backs at these times are effective at flipping almost one-third of non-respondents. We also found that farmers were highly unlikely to respond or interact with messages that required keypress or voice responses. We have incorporated these results into the design of an ICT-based intervention, the impact of which will be assessed through a Randomized Controlled Trial later this year. In this intervention, we will be sending farmers non-interactive voice blasts at these specific times of the day.
Our processes and results are outlined in detail below.
To educate farmers on balanced fertilizer usage, we explored the feasibility of communication channels like text messages, automated calls, videos etc. During our initial scoping, we found that smartphone usage was low among the farmers limiting the set of feasible channels to text messages and automated calls.
In January and February 2019, we designed and recorded a set of educational messages on the soil health card scheme, that were sent to farmers through mobile phones. These were designed to be feasible for the government to implement through their existing systems of mobile-based extension.
Two channels were considered for this exercise:
To develop the content to disseminate, we used findings from our study on farmers’ knowledge and attitudes towards the soil health card scheme. The messages had three objectives:
The team wrote scripts of messages to be sent through IVR and SMSes, which were then translated into Hindi and recorded using a simple smartphone recorder. We also produced a literature review of best practices around ICT interventions in rural settings and interviewed other organisations with experience using IVR calls in rural India.
We ran two pilot tests of ICT interventions. Each pilot included multiple rounds of campaigns. With these pilots, we wanted to identify: a) the viability of the technology platforms for the intervention, b) farmer engagement with touch or voice response requests and the length of message farmers are most likely to listen to, c) the best time to contact farmers, and d) the optimal call-back protocol for the intervention.
In the pilot, we tested various interventions, including ICT messages (IVR and text):
First campaign: To assess response rates for different types of interventions (simple recorded message, touchstone response, voice response, and only SMS).
Design: We sent 508 farmers one of four randomly assigned messages, all of which contained the same content in terms of soil health card advice. The first group received a simple uninterrupted voice recording; the second received requests for keypresses to continue the message; the third was asked for voice response to continue the message, and the fourth received only an SMS. The first three groups also received an SMS after the call ended. The farmers that did not pick up were called back twice.
Results: The table below highlights our findings. This excludes numbers registered on the DND database. After all callbacks, 116 calls were answered, giving a total pickup rate of 41.1 per cent.
As previously mentioned, we confirmed through this pilot that farmers seldom engage with interactions requests. Only 8 out of 87 farmers made any keypress responses, and even fewer responded to prompts for voice interactions.
Decision: Due to the low interaction with keypress or voice requests, we proceeded with simple voice recordings and SMSes.
Second campaign: To test different call timings to determine which time of day results in the highest pickup rate and to judge the success of two different message types by comparing call duration (or, the number of time farmers stayed on the phone).
Design: We sent two versions of a one-minute recorded message to a total of 535 farmers. We limited the messages to a minute based on the findings of our second campaign. Both messages tested contained the same information but in a different order. We randomly assigned farmers’ phone numbers to different groups, and these farmers received calls at different times of day. Initial calls were made between 9:00 AM and 8:30 PM, on 13–15 February 2019.
Results: Selected results with high pick-up rates shown in the table below. Calls made at 12:30 AM, 5:30 PM, 7.30 PM and 8:30 PM were the most successful in terms of rates of pick-up and call duration.
The first of the two messages performed slightly better in terms of call duration, but this result was not uniform across time. On subsequent calls, the first message was chosen, since it prioritised the information we most wish to deliver about soil health cards.
We redialed numbers that were not reached in the first round. Of the 121 numbers we called back, 39 answered during at least one callback.
Decision: Based on these results, we selected the highest-performing time slot for the call scheduled for the upcoming intervention/RCT. We also set the duration of the recorded message to under ~75 seconds.
Third campaign: To assess response rates to callbacks that were spaced at different intervals from an initial call.
Design: We called 30 farmers in March 2019. These farmers had not been contacted during the previous pilot and were expected to have similar response rates.
Farmers received a 75 second recorded message over the phone. The farmers who did not respond to the initial call received callbacks at differing times. Half of the farmers received callbacks every 30 minutes, while the other half received callbacks every 4 hours.
Results: We found that calls at 9:30 am resulted in the highest response rate and duration. While the overall sample size is too small to make broad inferences, we find that the timing of the call backs is more important than their duration with which they’re spaced out- i.e, there are periods of time where farmers are more likely to pick up calls, irrespective of what time the first call was made to them.
Figure 3: Response rates, by callback type
While some experience and lessons from this pilot can be used in designing and testing phone-based intervention for other sectors, the most variance in these results will come from changes in the target population, since farmers are a very specific sub-group, with unique daily rhythms and habits. Within the agriculture sector, these results are likely to vary by context (like mobile usage, geography and season), as the likelihood of picking up calls is presumably linked with the intensity of agricultural activity in a given time and space. Future research is required to see whether this result can be replicated under different agronomic conditions.
We have incorporated these results into the design of an ICT-based intervention, the impact of which will be assessed through an RCT later this year. We will be sending farmers non-interactive voice blasts at the most successful time slots. We plan to share the results from this RCT with the readers after the analysis is complete.
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