Tootfinder

🦠 Harnessing Microalgae and Cyanobacteria for Sustainable Agriculture: Mechanistic Insights and Applications as Biostimulants, Biofertilizers and Biocontrol Agents
#algae

Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
Abigail R. Cohen, Yuming Sun, Zhihao Qin, Harsh S. Muriki, Zihao Xiao, Yeonju Lee, Matthew Housley, Andrew F. Sharkey, Rhuanito S. Ferrarezi, Jing Li, Lu Gan, Yongsheng Chen
https://arxiv.org/abs/2509.12247

Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
Efficient nutrient management is critical for crop growth and sustainable resource consumption (e.g., nitrogen, energy). Current approaches require lengthy analyses, preventing real-time optimization; similarly, imaging facilitates rapid phenotyping but can be computationally intensive, preventing deployment under resource constraints. This study proposes a flexible, tiered pipeline for anomaly detection and status estimation (fresh weight, dry mass, and tissue nutrients), including a comprehen…

RF-Powered Batteryless Plant Movement Sensor for Precision Agriculture
Jona Cappelle, Jarne Van Mulders, Sarah Goossens, Thomas Reher, Liesbet Van der Perre, Lieven De Strycker, Bram Van de Poel, Gilles Callebaut
https://arxiv.org/abs/2509.13004

RF-Powered Batteryless Plant Movement Sensor for Precision Agriculture
Precision agriculture demands non-invasive, energy-efficient, and sustainable plant monitoring solutions. In this work, we present the design and implementation of a lightweight, batteryless plant movement sensor powered solely by RF energy. This sensor targets Controlled Environment Agriculture (CEA) and utilizes inertial measurements units (IMUs) to monitor leaf motion, which correlates with plant physiological responses to environmental stress. By eliminating the battery, we reduce the ecolo…

Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction
Chen Jiang, Kofi Osei, Sai Deepthi Yeddula, Dongji Feng, Wei-Shinn Ku
https://arxiv.org/abs/2509.11459 …

Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction
Accurate precipitation forecasting is indispensable in agriculture, disaster management, and sustainable strategies. However, predicting rainfall has been challenging due to the complexity of climate systems and the heterogeneous nature of multi-source observational data, including radar, satellite imagery, and surface-level measurements. The multi-source data vary in spatial and temporal resolution, and they carry domain-specific features, making it challenging for effective integration in con…

Supporting a Sustainable and Inclusive Urban Agriculture Federation using Dashboarding
Klervie Tocz\'e, Iffat Fatima, Patricia Lago, Lia van Wesenbeeck
https://arxiv.org/abs/2509.00595

Supporting a Sustainable and Inclusive Urban Agriculture Federation using Dashboarding
Reliable access to food is a basic requirement in any sustainable society. However, achieving food security for all is still a challenge, especially for poor populations in urban environments. The project Feed4Food aims to use a federation of Living Labs of urban agriculture in different countries as a way to increase urban food security for vulnerable populations. Since different Living Labs have different characteristics and ways of working, the vision is that the knowledge obtained in indi…

MC for Agriculture: A Framework for Nature-inspired Sustainable Pest Control
Fardad Vakilipoor, Nora Hirschmann, Julian Schladt, Stefan Schwab, Annette Reineke, Robert Schober, Kathrin Castiglione, Maximilian Schaefer
https://arxiv.org/abs/2506.20637

MC for Agriculture: A Framework for Nature-inspired Sustainable Pest Control
In agriculture, molecular communication (MC) is envisioned as a framework to address critical challenges such as smart pest control. While conventional approaches mostly rely on synthetic plant protection products, posing high risks for the environment, harnessing plant signaling processes can lead to innovative approaches for nature-inspired sustainable pest control. In this paper, we investigate an approach for sustainable pest control and reveal how the MC paradigm can be employed for analys…

Maximizing plant-soil feedback can lead to sustainable agriculture practices. #climatechange #climatesolutions #climate

RiverScope: High-Resolution River Masking Dataset
Rangel Daroya, Taylor Rowley, Jonathan Flores, Elisa Friedmann, Fiona Bennitt, Heejin An, Travis Simmons, Marissa Jean Hughes, Camryn L Kluetmeier, Solomon Kica, J. Daniel V\'elez, Sarah E. Esenther, Thomas E. Howard, Yanqi Ye, Audrey Turcotte, Colin Gleason, Subhransu Maji
https://arxi…

RiverScope: High-Resolution River Masking Dataset
Surface water dynamics play a critical role in Earth's climate system, influencing ecosystems, agriculture, disaster resilience, and sustainable development. Yet monitoring rivers and surface water at fine spatial and temporal scales remains challenging -- especially for narrow or sediment-rich rivers that are poorly captured by low-resolution satellite data. To address this, we introduce RiverScope, a high-resolution dataset developed through collaboration between computer science and hydrolog…