International Conference on Agriculture-Centric Computation (ICA25) hosted by IIT Ropar and IIT Guwahati

3๐ซ๐ ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐‚๐จ๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž ๐จ๐ง ๐€๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž-๐‚๐ž๐ง๐ญ๐ซ๐ข๐œ ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง (๐ˆ๐‚๐€ 2025) at Indian Institute of Technology, Guwahati brought together a powerful synergy of mindsโ€”from seasoned researchers to emerging innovatorsโ€” all driven by a shared mission: to redefine agriculture through computation and deep tech.

The conference begin with two exceptional keynote sessions:ย  Prof. Tomรกs Norton (KU Leuven) explored the role of computational models in revolutionizing precision agriculture and smart farming systems.ย  Prof. Danilo Demarchi (Politecnico di Torino) spoke about the fusion of electronics, AI, and IoT in enabling scalable, high-impact agricultural solutions. This energy carried forward into our first technical session, chaired by ๐ƒ๐ซ. ๐’๐ฐ๐š๐ญ๐ข ๐’๐ก๐ฎ๐ค๐ฅ๐š (VIT-AP) and ๐ƒ๐ซ. ๐€๐ง๐š๐ฆ๐ข๐ค๐š ๐˜๐š๐๐š๐ฏ (IIT Guwahati). Researchers presented breakthrough workโ€”from disease detection in rice and pearl millet to federated learning for crop security, and hyperspectral imaging using advanced optimization algorithms. Each project reflected the spirit of ICAโ€”technology for transformation.

Session 2, chaired by Prof. Ram Prakash Sharma (NIT Arunachal Pradesh Official), featured innovative ideas like robotic arms for vertical farming, drone swarm technologies, energy-efficient aerial spraying, and farmer-centric studies from Punjab to Europe. As the sun began to set, we shifted gears with a virtual talk by Prof. Bala Natarajan (Kansas State University), and an engaging panel discussion titled โ€œ๐…๐ซ๐จ๐ฆ ๐‹๐š๐› ๐ญ๐จ ๐‹๐š๐ง๐โ€. Experts and practitioners shared real-world challenges and the roadmap to scaling innovations that matter. The day ended with deeper conversations, new collaborations, and a shared commitment to shaping a better #agricultural #future. ICA isnโ€™t just a conference โ€” itโ€™s a movement. A drive to ๐ข๐ง๐ง๐จ๐ฏ๐š๐ญ๐ž, ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ, ๐š๐ง๐ ๐œ๐ซ๐ž๐š๐ญ๐ž ๐ญ๐š๐ง๐ ๐ข๐›๐ฅ๐ž ๐ข๐ฆ๐ฉ๐š๐œ๐ญ ๐Ÿ๐ซ๐จ๐ฆ ๐ญ๐ก๐ž ๐ฅ๐š๐› ๐ญ๐จ ๐ญ๐ก๐ž ๐ฅ๐š๐ง๐.

Day 2 was ๐€๐๐๐ซ๐ž๐ฌ๐ฌed by Prof. Dhananjay Singh (Penn State University, USA) provided valuable insights into smart systems and next-gen agri-tech solutions.
Then there was ๐‚๐Ž๐Œ๐๐€๐† Workshop by Prof. Tomรกs Norton (KU Leuven, Belgium) and ๐’. ๐’๐ซ๐ž๐ž ๐‘๐š๐ง๐ฃ๐š๐ง๐ข (Elsevier) delved into #computational #tools for #precision #agriculture and academic publishing perspectives.
The ๐๐š๐ฉ๐ž๐ซ ๐๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง ๐’๐ž๐ฌ๐ฌ๐ข๐จ๐ง on ๐Œ๐ฎ๐ฅ๐ญ๐ข๐ฆ๐จ๐๐š๐ฅ ๐ƒ๐ž๐ž๐ฉ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ข๐ง ๐€๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž was Chaired by ๐ƒ๐ซ. ๐ƒ๐š๐ฏ๐ข๐ ๐“๐ฅ๐š๐ข๐ฌ๐ฎ๐ง ๐“๐ก๐š๐ฐ๐ฆ๐ญ๐ก๐š๐ง๐ ๐š (Central Agricultural University, Imphal) covered research on:
PolSAR data with CNNs for crop classification, Conv-LSTM models for cattle vocal stress detection, Leaf anomaly detection systems, Behavior prediction in livestock using multimodal inputs, Deep learning in mango disease detection, LLM enhancements for agriculture-specific translation tasks
The ๐๐š๐ฉ๐ž๐ซ ๐๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง ๐’๐ž๐ฌ๐ฌ๐ข๐จ๐ง on ๐†๐ˆ๐’ ๐š๐ง๐ ๐Œ๐ฎ๐ฅ๐ญ๐ข๐ฌ๐ฉ๐ž๐œ๐ญ๐ซ๐š๐ฅ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐€๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž was Chaired by Dr. Mukesh K. Saini (Indian Institute of Technology, Ropar), featured work on:
Terrain suitability analysis using VR, Soil sodium ion sensing, Biomass utilization for climate change mitigation, GIS-based precision farming in Punjab, Smart Agri Rovers, Non-invasive tea quality testing via NIR spectroscopy.

The day began with an insightful talk by ๐ƒ๐ซ. ๐’๐ฎ๐๐ข๐ฉ ๐Œ๐ข๐ญ๐ซ๐š (Indian Institute of Technology, Guwahati), who highlighted the importance of ecological balance, climate resilience, and computational modeling in ๐ฌ๐ก๐š๐ฉ๐ข๐ง๐  ๐ฌ๐ฎ๐ฌ๐ญ๐š๐ข๐ง๐š๐›๐ฅ๐ž ๐š๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐š๐ฅ ๐ฌ๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ.
The ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐’๐ž๐ฌ๐ฌ๐ข๐จ๐ง ๐จ๐ง ๐€๐๐ฏ๐š๐ง๐œ๐ž๐ AI for Agriculture, chaired by Dr. Andrew Roobert A (IIT Guwahati), this session spotlighted cutting-edge research in AI and quantum computing:
๐Ÿ”น Akhil Madhamshetty (University of North Carolina at Charlotte) โ€“ Cyber-Physical System for Agrometeorological Data
๐Ÿ”น Shashi Bhushan Kumar et al. (Indian Institute of Technology, Kharagpur) โ€“ DSSAT vs APSIM Crop Modeling
๐Ÿ”น Tamilarasi K et al. (VIT Chennai) โ€“ Quantum Reinforcement Learning for Seed Treatment
The conference closed with the ๐‘๐จ๐š๐ ๐ญ๐จ ๐‚๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ข๐จ๐ง (RTC) initiative, setting the stage for future academic-industry linkages, global research networks, and collaborative innovation in agriculture-centric computation.

As we reflect on three powerful days of learning, research, and collaboration at Indian Institute of Technology, Guwahati, the impact of ICA2025 โ€” organized with iHub – AWaDH @ IIT Ropar, Indian Institute of Technology, Ropar, NIT Arunachal Pradesh Official, and ANNAM.AIโ€”stands as a testament to the strength of interdisciplinary innovation in ๐š๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž-๐œ๐ž๐ง๐ญ๐ซ๐ข๐œ ๐œ๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง.
๐Š๐ž๐ฒ ๐Ž๐ฎ๐ญ๐œ๐จ๐ฆ๐ž๐ฌ:
35 ๐๐š๐ฉ๐ž๐ซ ๐๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง๐ฌ:โ€“ Showcasing pioneering research in precision farming, AI, climate modeling, quantum computing, and more.
5 ๐๐จ๐ฌ๐ญ๐ž๐ซ ๐๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง๐ฌ โ€“ Highlighting early-stage concepts and practical demonstrations of tech-led agri-solutions.
40+ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก๐ž๐ซ ๐๐š๐ซ๐ญ๐ข๐œ๐ข๐ฉ๐š๐ง๐ญ๐ฌ โ€“ Advancing deep-tech innovation from leading institutions and global universities.
25 ๐๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐จ๐ซ๐ฌ & ๐๐ซ๐จ๐ ๐ซ๐ž๐ฌ๐ฌ๐ข๐ฏ๐ž ๐…๐š๐ซ๐ฆ๐ž๐ซ๐ฌ โ€“ Connecting cutting-edge research with ground realities to enable real-world transformation.
This convergence of academia, industry, and grassroots stakeholders reinforces the core mission of ICAโ€”to foster a smarter, sustainable, and tech-driven agricultural ecosystem.