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8846 result(s) found
Smart-SNWM: Smart Soil specific Nutrient and Water Management at different depths using IoT and AI/ML (Smart-SNWM) for onion crop

Development of a new model EAgriS-MDTM for measuring soil parameters at different depths with multiple sensors: Currently EAgriSTM can measure the soil parameters at single depth. EAgriS-MD will have additional sensor channels and interfaces for meas

Section: Academic Innovations (Innovations)
E-Catch: Economical Customizable Compact IoT-based low-powered Data Capturing System:

Designing of E-Catch system for IoT-based applications with initial focus on agriculture application. E-Catch will facilitate a. Interface for attaching sensors b. Wireless sub-system for communicating with sensors and other data logging systems c. C

Section: Academic Innovations (Innovations)
Design and Development of Microservice-Based Fog-Enabled Infrastructure for Smart Agriculture

Perform computing near the farm (Fog Layer) to reduce latency and bandwidth consumption, and enable operation in disconnected environment

Section: Academic Innovations (Innovations)
Explaining Decision-Making in (Semi-)Autonomous Vehicles

Development of framework for automatic generation of human-understandable explanations for decisions taken by ML components in autonomous and semi-autonomous vehicles.

Section: Academic Innovations (Innovations)
Modeling Energy Behavior in Education Buildings Using IoT and Sensing Technology

Create a digital building twin with a human-in-the-loop concept that helps in decision-making for an optimized energy and comfort requirements.

Section: Academic Innovations (Innovations)
Coordinated UAVs for Efficient Agricultural Spraying Operations

Develop a methodology to determine coordinated trajectories of multiple smaller UAVs to perform simultaneous spraying over an agricultural domain.

Section: Academic Innovations (Innovations)
Machine Learning-based Crop Disease Detection on the Edge

Design and development of a new on-the-edge AI-based diagnosis of bacterial wilt, across selected plants, for open farms

Section: Academic Innovations (Innovations)
Enabling Energy and Safety-Awareness in Autonomous Robotics for Smart Agriculture

Design of a multidisciplinary and collaborative IoT-based framework for energy-efficient and safe robotics using mechanism design, autonomous path planning and battery management

Section: Academic Innovations (Innovations)
Computational Learning through Context Adaptation for Effective and Efficient Agriculture

Create new datasets that capture climatic crop stressors for onion and cotton and develop robust frameworks and AI models

Section: Academic Innovations (Innovations)
Rapid nade Cardinality Estimation in the Internet of Things Using Reinforcement Learning with Applications to Smart Onion Storage Systems

Design and development of rapid node cardinality estimation algorithms for heterogeneous IoT networks and its application to smart storage system

Section: Academic Innovations (Innovations)
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