Chandigarh University researchers use Artificial Intelligence to develop Model for predicting Accurate Crop Yield; Innovation to benefit Indian Farmers

Researchers have leveraged Local weather Knowledge and Satellite tv for pc Know-how for creating the predictive mannequin

CHANDIGARH, India, June 27, 2026 /PRNewswire/ — In a big development for good agriculture and precision farming, researchers at Chandigarh College have developed an Synthetic Intelligence (AI)-powered Transformer Mannequin that’s able to precisely predicting crop yields utilizing satellite tv for pc imagery, local weather information and historic agricultural data.

The innovation can be instrumental in empowering farmers, policymakers and agricultural companies to make knowledgeable selections whereas strengthening meals safety and advancing resilient farm administration.

The analysis, led by Kusum Lata, Assistant Professor Division of Laptop Science Engineering, Chandigarh College, Dr Navneet Kaur Professor Division of CSE and Dr Simrandeep Singh Professor from College Centre of Analysis and Growth at Chandigarh College that focuses on enhancing crop yield forecasting in Punjab’s agricultural heartland. The examine, not too long ago introduced on the 2026 Worldwide Convention on Sign Processing and Electronics Design (ICSPED) at Chandigarh School of Engineering and Know-how, Chandigarh that introduces a light-weight transformer-based system that leverages multi-source information to estimate crop manufacturing earlier than harvest with higher accuracy and decrease computational prices.

Notably, the correct crop yield prediction has turn out to be more and more vital as farmers face rising challenges from local weather variability, altering climate patterns and rising meals demand. Conventional area surveys are sometimes time-consuming, labour-intensive and restricted in scale. The Chandigarh College researchers sought to beat these limitations by integrating superior AI methods with real-time Earth statement information.

Kusum Lata, Assistant Professor Division of Laptop Science Engineering at CU stated, “The transformer mannequin makes use of information from Sentinel-1 and Sentinel-2 satellites that are superior Earth statement satellites operated by the European Area Company (ESA) to repeatedly monitor agricultural fields and supply data on crop development, vegetation well being, soil moisture and area circumstances. The satellite tv for pc observations are mixed with climatic variables similar to rainfall, temperature and soil moisture, together with historic crop manufacturing data, making a complete image of crop efficiency all through the rising season.”

Kusum added, “Not like standard machine studying fashions, the newly developed light-weight transformer can determine essential crop development phases and study complicated temporal patterns that affect last yields. We’ve designed the mannequin to ship excessive predictive efficiency that require fewer computational assets, making it appropriate for sensible deployment in large-scale agricultural monitoring techniques.”

“The mannequin was evaluated on 4 main crops cultivated in Ludhiana district, specifically paddy, maize, moong and sugarcane, utilizing information collected between 2019 and 2023. Experimental outcomes demonstrated that the transformer mannequin outperformed extensively used approaches similar to Random Forest and Lengthy Quick-Time period Reminiscence (LSTM) fashions, indicating stronger settlement between predicted and precise yields. The framework additionally recorded decrease prediction errors and improved computational effectivity.

Kusum has labored as a Junior Analysis Fellow within the Agriculture and Crop Monitoring Division at Punjab Distant Sensing Centre (PRSC), PAU Ludhiana, contributed to geospatial analysis initiatives, together with crop residue burning evaluation utilizing distant sensing and geospatial mapping methods.

The examine additional revealed that the light-weight structure requires almost 40 p.c fewer parameters than standard transformer fashions whereas delivering sooner and correct predictions. This stage of effectivity makes this automated framework appropriate for close to real-time agricultural functions, together with regional crop monitoring, manufacturing forecasting and early warning techniques.

In line with the researchers, the flexibility to precisely forecast crop yields earlier than harvest can have vital implications for farmers and governments alike. Dependable forecasts can assist agricultural planning, optimize useful resource allocation, strengthen crop insurance coverage mechanisms and enhance market administration methods. In a state like Punjab, the place agriculture performs a central position within the financial system, such applied sciences can contribute to extra resilient and sustainable farming techniques.

The researchers additionally shared that one of many key strengths of the mannequin lies in its means to mix a number of sources of data right into a single predictive mannequin. By integrating satellite-derived observations with climatic and historic datasets, the system captures the complicated interactions that affect crop productiveness and offers a extra sturdy understanding of agricultural outcomes.

The long run developments may also concentrate on enabling close to real-time forecasting by means of cloud-based platforms, paving the best way for broader adoption of AI-driven determination assist techniques in agriculture, added the Chandigarh College researchers.

About Chandigarh College

Chandigarh College is a NAAC A+ Grade College and QS World Ranked College. This autonomous academic establishment is accredited by UGC and is positioned close to Chandigarh within the state of Punjab. It’s the youngest college in India and the one non-public college in Punjab to be honoured with A+ Grade by NAAC (Nationwide Evaluation and Accreditation Council). CU affords greater than 109 UG and PG applications within the area of engineering, administration, pharmacy, legislation, structure, journalism, animation, resort administration, commerce, and others. It has been awarded as The College with Greatest Placements by WCRC.

Web site deal with: https://www.cuchd.in/

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