D
Divyanth L G
Cornell University, Bayer CropScience K.K. (Japan), Washington State University, AgWeatherNet, Indian Institute of Technology Kharagpur
Research areas: Agricultural and Biological Sciences · Plant Science · Smart Agriculture and AI · Advanced Neural Network Applications · Spectroscopy and Chemometric Analyses
Employment
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Bayer Crop Science Co-op2026 - 2026
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Cornell University Graduate Research Assistant2025 - Present
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AgWeatherNet Data Scientist2025 - 2025
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Washington State University Graduate Research Assistant2023 - 2025
Education
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Cornell University Doctor of Philosophy2025 - Present
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Washington State University Master of Science2023 - 2024
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Indian Institute of Technology Kharagpur Bachelor of Technology2019 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Assessment of mechanical damage in canola using X-ray radiography and deep learning Save
- Comparative study of digital and hyperspectral imaging for varietal discrimination of dill (Anethum graveolens L.) seeds Save
- Design, integration, and evaluation of a dual-arm robotic system for high throughput sampling from potato tubers Save
- Multi-Step Forecasting of Grape Berry Temperature based on LSTM Model with Feed-Forward Attention Save
- Efficient detection of eyes on potato tubers using deep-learning for robotic high-throughput sampling Save
- Soil fertility prediction using combined USB-microscope based soil image, auxiliary variables, and portable X-ray fluorescence spectrometry Save
- Assessment of Mechanical Damage and Germinability in Flaxseeds Using Hyperspectral Imaging Save
- Estimating depth from RGB images using deep-learning for robotic applications in apple orchards Save
- Land use/land cover classification using hyperspectral soil reflectance features in the Eastern Himalayas, India Save
- A Two-Stage Deep-Learning Model for Detection and Occlusion-Based Classification of Kashmiri Orchard Apples for Robotic Harvesting Save
- A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery Save
- Detection of Coconut Clusters Based on Occlusion Condition Using Attention-Guided Faster R-CNN for Robotic Harvesting Save
- Automated Detection of Mechanical Damage in Flaxseeds Using Radiographic Imaging and Machine Learning Save
- Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications Save
- Evaluation of Effective Class-Balancing Techniques for CNN-Based Assessment of Aphanomyces Root Rot Resistance in Pea (Pisum sativum L.) Save
- Identification of Green Gram (Vigna radiata) Grains Infested by Callosobruchus maculatus Through X-ray Imaging and GAN-Based Image Augmentation Save
- Non-destructive Prediction of Nicotine Content in Tobacco Using Hyperspectral Image–Derived Spectra and Machine Learning Save