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MULTIMODAL SPATIAL-TEMPORAL DATA FUSION TECHNIQUES FOR ENHANCING FIELD CROP BIOMASS ESTIMATION IN PRECISION AGRICULTURE

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posted on 2024-06-17, 20:26 authored by Kevin Tae Sup LeeKevin Tae Sup Lee

This study introduces a methodology wherein daily values are linearly interpolated to achieve uniform temporal resolution across various data sets, including spectral and environmental information. This approach facilitates further analysis using machine learning techniques to estimate biomass. The proposed Best Friend Frame (B.F.F.) data set integrates Unmanned Aerial Systems (UAS) data, weather data, weather indices, soil hydrological group classifications, and topographic information. Two different biomass estimations were created to enhance versatility: one averaged per management practice and another averaged per physical experimental plot size. Additionally, SuperDove satellite data were combined with identical environmental data as that of the UAS.

UAS flights were conducted at the ACRE field in 2022 and 2023. The UAS data were captured at a height of 30 meters, yielding a ground sample distance of 2 cm/pixel per flight. Satellite data were sourced from the Planet SuperDove product. The images were processed using Crop Image Extraction (CIE) and calibrated with Vegetation Index Derivation (VID). Spatial resolution was defined as the experimental plot size per year per crop type (soybean or corn). Topographic data were derived from Indiana LiDAR data, and soil information was obtained from the USDA SSURGO dataset.

The B.F.F. framework can be utilized with various models to identify which environmental inputs influence biomass accumulation throughout the growing season.

Funding

Less is more: Eco-intensification using recycled drainage water for fertigation.

National Institute of Food and Agriculture

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History

Degree Type

  • Doctor of Philosophy

Department

  • Agricultural and Biological Engineering

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

Keith Cherkauer

Additional Committee Member 2

Daniel Quinn

Additional Committee Member 3

Katy Rainey

Additional Committee Member 4

Yexiang Xue

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