Challenges and Opportunities of Sensors and Intelligent Systems for Food Chain. Suranjan Panigrahi Professor
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1 Challenges and Opportunities of Sensors and Intelligent Systems for Food Chain Suranjan Panigrahi Professor
2 Food Chain- A complex value chain Production Practices Harvest Post-harvest Seed Fruit Consumer Ref: MS office clip artsonline
3 Sustainability Resources Environment Water, air, soil Energy Food Quantity Quality Economics
4 Sensors Control System Sensors Machine Intelligent Information Processing System Intelligent Systems
5 Agricultural Evolution- Productivity Land grant university Mechanization One of the greatest achievements of 20 th century Genetics Breeding Chemical application Pesticide Diseases
6 Soil System and practices GPS and sensor technology Remote Sensing (Satelliete Images) Artificial intelligence Technology GPS Yield map Soil nutrient determination Variable rate application Panigrahi group Image and non-image information Leaf Nitrogen prediction Biosystems Engg 95(3) 2006 Residual soil nitrate prediction- Imaging and non-imaging parameter Biosystems Engg. 110(1) 2011 Precision Farming
7 Chemical Application Plant Diseases Chemical (pesticide) Sprayers Foliar Microclimate Drift Spray sensitive card Aerial spraying
8 Objective Spray Coverage Evaluation System for Wheat (a) Wheat Head Image (b) Spray Image
9 Plant Disease Variable rate application Spraying Right amount and right spot Plant Diseases prediction (Panigrahi group) Intelligent modeling From foliage, weather parameters
10 Portable Plant Health Monitoring Systems Critical During growth stage Conventional methods disadvantages Portable and non-contact system Chlorophyll Leaf nitrate
11 On-the-go field scale quality sensor Challenges Dust Temperature Vibration Panigrahi group Wheat protein Sugar content for sugarbeet Patents
12 Sensor Technologies for Post-harvest quality control and inspection Computer vision Color classification Internal texture Tactile sensing and neural networks
13 Sensor Technologies for Post-harvest quality control and inspection Computer vision Edible quality evaluation International marketing
14 Sensor Technologies for Post-harvest quality control and inspection
15 Intelligent Quality Sensors for Safe Food Products
16 Hypothesis : Gaseous and liquid metabolites of pathogens growing on food matrix can be sensed. Accumulated headspace Artificial Olfactory Sensing Gustatory Sensing Gust Accumulated liquid Sample Sensor Independent of sampling location
17 Different sensor technologies Cyranose
18 Intelligent Artificial Nose Development (IAN) Multiple approaches
19 Evaluation of Nano-structured Sensing Material for Detection of VOCS associated with Pathogen Activities Hybrid Approaches Array detectors + Indicator Compound detector Porphyrin Conducting polymer Metal-oxide Biomietic odor binding protein Olfactory receptor-based sensor Selected Biosensors and Bioelectronics 26(7) 2011; Sensors and Actuators B 2011; 153(1): Materials Science and Engineering 32(6), 2012: Sensors and Actuators B 2011; 155(1):8-18. Biosystems E Frequency, Hz Time, s
20 Electronic nose for grain quality Panigrahi s group Fusarium infected barley Accpetable or nonacceptable Ergosterol content 86% accuracy LWT 40( 2007)
21 Water- also part of food Contaminated water can also contaminate food Induced effect Arsenic Geophysical chemical Connected issues Intensive chemical application Role of sensors
22 A system s Approach Sustainable Solution using Appropriate Technological Development and Innovation (SWADIN) Reverse innovation Water-linked health and wellness
23 Lessons Learned Sensor technology has tremendous potential User and market readiness for Agricultural and food sector User (stakeholder s) behavior and perception, Socioeconomics Issues are connected Earth from space Nova- PBS program A connectedness beyond imagination Chaos leading to order Role of 120 satellites sensors Intelligent form
24 Food-water-energy nexus Interdependencies Climate change Abiotic and biotic factors Soil health a dynamic system Microbial ecology Metagenomics Food safety Human and animal health Eco-system perspective Soil-microbe Plant-microbe Pathogen ecology Questions How climate change (microscale) affect microbial and pathogen ecology? How a certain event (rainfall) affect pathogen transfer to crops (fruits)? How long the pathogen survive on the surface of a fruit? How can we determine or sense the dynamics of conditions under the soil?
25 Trend Connected economy local, national and global One health initiative Plant, animal and human Infection- 70% vector borne Plant diseases Consumer awareness Fresh fruits and vegetables Ready to eat with minimal processing Organic food and implication Food consumption trend Animal product consumption increasing in India and China Economical growth Policy and regulations
26 Role of sensor and sensing technology Food, Energy, and Water: Transformative Research Opportunities in the mathematical and physical Science- July 2014 Multi-scale sensing Macro to micro Satellite sensing to ground level location specific sensing Multiple sensors with redundancy Sensor fusion Intelligence Post- analytics and Meta data Internet of things - IOT MEMS level technology platform Cost effective and small foot print Connectedness Economy of scale Intelligent Informatics Deep learning Analytics
27 Considerations System and sub-system level grain Tree fruit Vegetable Animal system Meat Dairy Poultry Urban Agriculture Controlled environment Hydroponics Innovation Real-time decision or decision support systems Hierarchy of sensor/sensing system as different critical points in the value chain First line of screening system Cost-effective; acceptable accuracy Gold standard laboratory scale sensing system Costly, but highly accurate
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