Harnessing Digital Technologies for Smarter Water Management in Agriculture 2025
Page 25 of 33 · WEF_Harnessing_Digital_Technologies_for_Smarter_Water_Management_in_Agriculture_2025.pdf
Digital literacy gaps in agriculture persist across
many rural communities, which makes training
and advisory services crucial for implementation.43
Large-scale public initiatives can serve a pivotal
role in accelerating this. National free digital literacy
programmes tailored specifically for farmers can
help bridge the digital knowledge gap, enabling
both smallholders and large-scale farmers to
effectively utilize AI-driven advisory platforms and
IoT-based irrigation systems. Several regional
and global initiatives are already advancing
this agenda. For example, the Digitalisation for
Agriculture (D4Ag) initiative advocates farmer-
centred digital literacy building through customized
training and tools.44 The role of public-private partnerships is critical
in such initiatives, as collaboration among
governments, agribusinesses and technology
providers can facilitate the provision of open-
access educational resources, hands-on training
and user-friendly digital platforms for farmers. For
instance, the Saagu Baagu pilot, developed in
partnership with the Government of Telangana and
Digital Green through the World Economic Forum’s
AI for Agriculture Innovations (AI4AI) initiative, has
increased yields in the chilli value chain by 21% for
over 7,000 farmers in the Khammam district by
enabling digital agriculture focused on evidence-
based learning and scalable impact.45
Table 5 outlines some key methods to provide
farmers with the necessary digital skills.
Methods to equip farmers with digital skills TABLE 5
Method Targeted challenge Training approach
Localized training
initiatives –Limited digital literacy among farmers.
–Difficulty understanding and implementing complex
digital water management solutions on-site. –In-person workshops, mobile education units and
farmer collectives designed to provide hands-
on training, enabling practical experience with
IoT sensors, AI-driven advisory tools and digital
irrigation platforms.
Digital learning hubs –Lack of continuous access to up-to-date
technological resources.
–Difficulty visualizing practical benefits of digital solutions. –Community spaces featuring engaging digital modules,
live sensor data displays and interactive dashboards.
–These hubs facilitate regular access to technology
demonstrations, enhancing familiarity with real-time
data analytics in agriculture.
Farmer-led knowledge
exchange –Resistance to technology adoption due to
uncertainty or risk aversion.
–Limited dissemination of practical experience in
local contexts. –Establish collaborative peer networks where
experienced farmers share practical insights, best
practices and lessons learned from implementing
digital water management technologies.
–Peer-to-peer mentoring sessions can encourage
greater trust and faster adoption rates. National free
digital literacy
programmes
tailored specifically
for farmers can help
bridge the digital
knowledge gap.
2.4 Making smart agriculture affordable and scalable
Affordability is a major barrier for widespread
adoption of digital agriculture, particularly for
smallholder farmers. Without innovative financing and
cost-sharing approaches, or clear policy incentives,
scalability remains a significant challenge.
Common constraints include:
–High upfront costs of IoT sensors
and maintenance. –Limited last-mile distribution and adoption
beyond high-value crops like fruits and vegetables.
–Lack of incentives for farmers to transition to
efficient water use.
To unlock broader adoption, digital solutions
should resonate with farmers’ economic realities.
Table 6 presents some strategies to lower barriers
to adoption.
Harnessing Digital Technologies for Smarter Water Management in Agriculture
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