agrotechs_practical_Hardware _desigining.pptx

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1. TITLE PAGE SMART INDIA HACKATHON 2025 Problem Statement ID - SIH25062 Problem Statement Title- Implementation of smart agriculture for efficient cultivation in hilly regions Theme- Agriculture, FoodTech and Rural Development PS Category- Hardware Team ID- Team Name- Agrotechs

2. Smart Farming Monitor: IoT-based Soil and Climate Analysis with Solar Power Farmers often struggle with over-irrigation, soil nutrient imbalance, and unpredictable climate conditions, which lead to reduced yields and higher costs. Proposed solution: An IoT-based monitoring device powered by a solar panel. It continuously tracks: Soil Moisture sensor→ helps in optimized irrigation pH & Nutrients (NPK) sensor→ ensures balanced fertilizer application Temperature & Humidity sensor→ helps in climate-based crop decisions Readings are displayed on a local screen so farmers can see results instantly without needing internet access. LED Indicators provide a simple, language-free alert: Green LED → All sensors functioning properly Red LED → Fault in any sensor → farmer calls customer support Innovation & Uniqueness: Unlike existing IoT systems that need internet/cloud always, this device is self-powered (solar) and gives on-spot results via display & LED alerts. Failsafe mechanism (red LED for faulty sensor) ensures farmers know if the system is not reliable. Farmer-friendly design (no complex app dependency, minimal literacy required). Modular → more sensors (like rainfall, CO₂, pest detection) can be added later. 2 @SIH Idea submission- Template AGRO TECHS

3. TECHNICAL APPROACH T echnologies to be used HARDWARE: ESP32 / Arduino Uno (microcontroller) Soil Moisture , pH, NPK sensors Temperature & Humidity sensor (DHT22 / BME280) LCD/TFT display module Solar panel + battery + charge controller LEDs (Green/Red for system health) SOFTWARE: Languages: C/C++ (Arduino IDE) Frameworks/Libraries: Adafruit sensor libraries,I2C communication Methodology & Process: Sensor Integration – Connect soil, nutrient, and climate sensors to ESP32/Arduino. Data Collection & Processing – Microcontroller reads sensor data, checks if sensors are working. Indication System – Green LED (all good) / Red LED (sensor fault). Display Output – Show live readings on LCD/TFT. Power Supply – Solar panel charges battery → provides continuous power. Customer care support –in case of any help farmers can reach out to customer care support via toll free number @SIH Idea submission- Template 3 AGRO TECHS

4. FEASIBILITY AND VIABILITY Technical Feasibility Readily available sensors and low-cost IoT boards Solar panels provide sustainable power even in rural areas LED indicators ensure easy understanding for non-technical farmers Economic Viability Initial setup cost moderate (₹3,000–₹10,000 depending on sensors) Long-term savings by reducing water, fertilizer, and crop losses Scalable design → can be adapted to small farms and large-scale agriculture Operational Feasibility Simple plug-and-play system for farmers Fault indication via red LED reduces downtime Customer care support ensures easy maintenance 4 @SIH Idea submission- Template AGRO TECHS

5. IMPACT AND BENEFITS @SIH Idea submission- Template 5 AGRO TECHS For Farmers Helps in optimal irrigation (saves water) Detects soil health issues early (pH imbalance, nutrient deficiency) Guides fertilizer usage , reducing costs Climate data helps in crop planning & protection Simple red/green LED system makes it farmer-friendly For Environment Reduced overuse of water and fertilizers Promotes sustainable agriculture Renewable energy usage through solar panel For Society Higher crop yield & farmer income Improves food security Encourages smart farming adoption in rural areas

6. RESEARCH AND REFERENCES @SIH Idea submission- Template 6 AGRO TECHS IoT in Agriculture : FAO Report on Smart Farming & Digital Agriculture (2022) IEEE Papers on IoT-based smart farming (e.g., IEEE Access, 2021: IoT-Enabled Agriculture Monitoring ) Sensor & Technology Sources : Soil moisture sensor (Capacitive YL-69, DFRobot ) pH & NPK soil testing sensors ( DFRobot , Atlas Scientific) Climate sensors (DHT22, BME280) Solar Power in IoT : NREL (National Renewable Energy Lab) publications on solar-powered IoT Case studies of solar IoT devices in rural farming (India & Africa)