Curiosity · After 12th
How to learn AI in Agriculture after 12th in Delhi
This is AI and IoT engineering applied to farming problems. It is not an agricultural engineering or B.Sc Agriculture degree — VSET offers computer science, electronics and IoT B.Tech programmes only. AI in agriculture combines sensing, computer vision and forecasting for crop health monitoring, yield prediction, irrigation control and pest detection. It is typically an IoT problem with a model attached, since the data comes from field devices and imagery. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Agriculture coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Agriculture
- VSET programme
- B.Tech Industrial Internet of Things
- Coverage at VSET
- Adjacent foundations only
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
No Delhi college offers a dedicated degree in AI in Agriculture. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech Industrial Internet of Things, which builds engineering foundations that transfer toward AI in Agriculture, though VSET does not run a dedicated AI in Agriculture programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Agriculture
AI in agriculture combines sensing, computer vision and forecasting for crop health monitoring, yield prediction, irrigation control and pest detection. It is typically an IoT problem with a model attached, since the data comes from field devices and imagery. At VSET this maps to engineering foundations that transfer toward AI in Agriculture, though VSET does not run a dedicated AI in Agriculture programme.
- VSET does not teach agriculture as a domain — agronomy, soil science and crop management are not part of any of its seven B.Tech programmes.
- The underlying techniques are taught: computer vision and deep learning in the AI curriculum at learn.engineering.vips.edu, and sensing and device work in the B.Tech Industrial Internet of Things track.
- The honest framing is adjacency: a student would bring the agricultural context themselves and use VSET's CV, sensing and embedded coursework as the toolkit.
- The IIoT programme is one of VSET's seven GGSIPU-affiliated B.Tech degrees.
Where AI in Agriculture skills lead
Graduates applying AI in Agriculture skills typically target roles such as Computer Vision Engineer, IoT Engineer, Embedded Systems Engineer, Machine Learning Engineer, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Agriculture after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Agriculture-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach agricultural AI?
No. Agriculture is not a domain taught in any VSET programme. What is taught is computer vision, deep learning and the IoT sensing stack that precision-agriculture systems are assembled from.
Which programme is closest?
B.Tech Industrial Internet of Things for the sensing and device side, paired with the AI curriculum's computer vision material.
Is there hardware to build a field prototype?
The AICTE IDEA Lab provides embedded hardware and 3D printing alongside GPU workstations, so a sensor-plus-model prototype is feasible as a self-directed project.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech Industrial Internet of Things — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31