1:"$Sreact.fragment" 2:I[91389,["/_next/static/chunks/d9e0d68f528a2dc6.js","/_next/static/chunks/ea6bdb0d940bcd8e.js","/_next/static/chunks/537d354b60c3ef65.js"],"default"] 3:I[97367,["/_next/static/chunks/ff1a16fafef87110.js","/_next/static/chunks/d2be314c3ece3fbe.js"],"OutletBoundary"] 4:"$Sreact.suspense" 0:{"buildId":"bJ-pHYGFcnjokhVAm8kTC","rsc":["$","$1","c",{"children":[["$","main",null,{"className":"min-h-screen bg-[#F8F9FA]","children":["$","$L2",null,{"project":{"id":"8","title":"CropYield Predictor","description":"Utilizing drone imagery and computer vision, this tool analyzes crop health across thousands of acres to predict harvest yields.","image":"https://images.unsplash.com/photo-1625246333195-78d9c38ad449?q=80&w=2070&auto=format&fit=crop","link":"/portfolio/8","category":"AgriTech","year":"2022","duration":"10 Months","technologies":["React","Flask","OpenCV","TensorFlow","AWS S3","Mapbox"],"features":["Automated drone imagery ingestion pipeline processing multispectral aerial photography.","Computer vision models detecting blight, water stress, and nutrient deficiency per field zone.","Interactive Mapbox field health heatmaps showing crop condition down to square-meter level.","Harvest yield prediction with 30-day advance forecasting and confidence intervals.","Prescription map generation for precision irrigation and targeted pesticide application zones.","Historical season comparison reports for agronomists and farm decision-makers."],"challenge":"Industrial farming conglomerates were relying on manual soil testing and outdated weather almanacs to predict yields, leading to massive inefficiencies in supply chain planning and multi-million dollar variances between predicted and actual harvests.","solution":"We developed a high-altitude computer vision system. Drones fly over thousands of acres capturing multispectral imagery which is automatically uploaded to AWS. Our custom TensorFlow models segment the images to detect early signs of blight, water stress, and nutrient deficiency. The frontend provides agronomists with a beautiful, interactive Mapbox interface showing exact health heatmaps of their fields.","results":["Achieved 96% accuracy in yield prediction a full month before harvest.","Reduced unnecessary pesticide application by 25% via targeted spraying zones.","Saved an estimated 40,000 gallons of water through precision irrigation insights.","Cut manual field scouting time by 80%."]}}]}],[["$","script","script-0",{"src":"/_next/static/chunks/537d354b60c3ef65.js","async":true}]],["$","$L3",null,{"children":["$","$4",null,{"name":"Next.MetadataOutlet","children":"$@5"}]}]]}],"loading":null,"isPartial":false} 5:null