Precision Agriculture and ECOSYSTEM modeling lab.

Precision agriculture involves managing agricultural inputs in an environmentally sustainable manner. Our goal is to enhance the use efficiency of (1) fertilizers and agrochemicals, (2) seeds and planting materials, and (3) machinery and equipment through the application of various PA tools. 

Agroecosystem modeling involves developing databases and applying machine-learning approaches to better understand real-world biogeochemical processes across broad spatial and temporal scales. Our goal is to deepen this understanding and translate it into simulation studies using existing ecosystem process models.

Balancing agricultural inputs and outputs is crucial to prevent unintended consequences of crop production. Our goal is to manage and conserve key resources such as carbon, nitrogen, water, and other essential elements. 

Agriculture is a major source of greenhouse gas emissions. Our current goal is to monitor methane emissions from rice paddy soils, assess their environmental impact, and inform effective mitigation strategies. 

Plastic use in agriculture is widespread and constitutes a significant source of microplastic pollution.  However, there is limited application of life cycle assessment or similar approaches to trace its dynamics and assess its impact on crop production and soil health. To address this gap, we initiated a preliminary project to develop a microplastic database specifically for cropland soils.