Redes Sociales

Opiyo Martin

SOLAR-POWERED AUTOMATED AZOLLA CULTIVATION & FEED PROCESSING SYSTEM PROJECT. Available at Mash Parks Industries An innovative agricultural engineering prototype integrating: ✅ Automated Azolla cultivation ☀️ Solar-powered operation 🤖 Smart monitoring and control 🔥 Solar drying ⚙️ Grinding and feed processing 🐔 Feed mixing and pellet formation 🔬 we provide: • Prototype development and demonstration • Research paper available • STEM education and training support • Innovation and research collaboration • Agricultural engineering solutions Suitable for: Researchers, STEM institutions, innovators, inventors, schools, universities, and agricultural enterprises. 📩 Contact Mash Parks Industries 📧 mparksindustries@gmail.com Watsup/call📞 +254 140 967 715 our catalogue https://lnkd.in/drE5bFRa Engineering Innovation. Sustainable Solutions. #MashParksIndustries #AgriTech #AgriculturalInnovation #STEM #Research #Automation #Azolla #SustainableAgriculture #EngineeringInnovation

Maryam Fayyad

I’m happy to share that I’ve successfully completed the 2026 Summer InnovEgypt program! 🎓 Over 6 days and 45 intensive training hours, I had the opportunity to learn more about innovation, entrepreneurship, and turning problems into real solutions. One of the highlights of the program was working with my team on AgriAI Rover, an agricultural support system that combines an AI-powered platform with a future AI-enabled field rover. Our idea aims to help farmers detect unusual crop problems early through images and field observations, while connecting them with trusted agricultural engineers who can verify AI-generated suggestions and provide professional guidance. What I especially liked about the project was that we didn't want AI to replace the agricultural expert or take the decision away from the farmer. Instead, AI helps collect and analyze information, while the expert provides validation and the farmer remains in control. I’m grateful for this experience, my teammates, and everyone who contributed to making these 6 days a valuable learning journey. Thank you InnovEgypt Program & TIEC for the opportunity! and thanks for my team and the Amazing instructor Dallia Taha #InnovEgypt #InnovEgyptS2026 #TIEC #Innovation #Entrepreneurship #AgriTech #AI

hanane oulhadj

🌱 Détection adaptative des maladies des plantes par Vision Foundation Models La détection des maladies végétales par vision artificielle repose encore largement sur des modèles de Deep Learning entraînés sur des jeux de données spécifiques. Mais que se passe-t-il lorsque le modèle est confronté à une nouvelle culture, une nouvelle variété, des conditions environnementales différentes ou une maladie absente des données d’apprentissage ? C’est là qu’émerge une question de recherche importante : 🔬 Comment développer des modèles de vision capables de transférer leurs connaissances et de s’adapter à de nouveaux contextes agricoles avec seulement quelques données annotées ? 🧠 Le rôle des Vision Foundation Models Les Vision Foundation Models (VFMs), pré-entraînés sur de vastes collections d’images, apprennent des représentations visuelles générales qui peuvent ensuite être adaptées à des tâches spécialisées. Dans le domaine agricole, ils offrent une piste intéressante pour réduire la dépendance aux jeux de données fortement annotés. 🔬 Pipeline de recherche 📷 Acquisition des images végétales ↓ 🔎 Vision Foundation Model ↓ 🧩 Extraction des représentations visuelles ↓ 🔄 Adaptation au domaine agricole ↓ 🎯 Détection / classification des maladies ↓ 💡 Interprétabilité et aide à la décision 🚀 Axes de recherche Plusieurs approches peuvent être explorées : • Transfer Learning → exploiter les connaissances acquises lors du pré-entraînement ; • Few-Shot Learning → apprendre à partir d’un nombre limité d’exemples annotés ; • Domain Adaptation → réduire le décalage entre les données d’entraînement et les environnements réels ; • Fine-Tuning et adaptation légère → spécialiser efficacement le modèle au contexte agricole ; • Explainable AI (XAI) → comprendre les régions et caractéristiques visuelles à l’origine des prédictions. 🌾 Vers une vision agricole plus adaptable L’enjeu scientifique ne consiste donc plus uniquement à obtenir une bonne performance sur un jeu de données donné, mais à étudier la capacité de généralisation, de transfert et d’adaptation des modèles de fondation dans des environnements agricoles variés. À terme, cette approche pourrait contribuer au développement de systèmes de vision agricole plus robustes, généralisables et interprétables, capables d’accompagner la surveillance et le diagnostic des maladies végétales dans des conditions réelles. 🧠 Vision Foundation Models + Few-Shot Learning + Domain Adaptation + XAI ➡️ Vers une vision agricole intelligente, robuste et adaptable. #VisionFoundationModels #ComputerVision #DeepLearning #ArtificialIntelligence #FewShotLearning #DomainAdaptation #ExplainableAI #PlantDiseaseDetection #PrecisionAgriculture #SmartAgriculture #AgriTech #Research #PhD

muskan Kumari

🚀 Turning a real-world problem into a solution. Proud to have led Team Quantum Crew at the Smart India Hackathon 2026 Internal Round, SIRTE Bhopal. 🌱 Problem Statement: Strengthening Market Linkages and Price Discovery for Farmers We worked on an idea aimed at helping farmers make smarter selling decisions by connecting them with the right markets and buyers, while considering price, demand and transportation costs. From problem research → ideation → prototype → presentation, the journey challenged us to think, build and collaborate better. As a team leader, I’m taking away more than just a hackathon experience — better teamwork, stronger problem-solving, and a lot of learning. Build. Learn. Improve. Repeat. 🚀 #SmartIndiaHackathon #SIH2026 #QuantumCrew #AgriTech #Innovation #Leadership #Teamwork #Hackathon

Hashini Hettiarachchi

No signal in the field. No problem. 🌾📴 📱 Built an offline-first Android app for agricultural field officers: Agri Scout 🌱 Field officers often work where the signal is weak or missing. Agri Scout lets them record farm data anywhere and sync it automatically once connectivity returns. 🚀 Key Features: 🌾 Farm registration: farmer, crop type, area, farming type (organic/inorganic), and estimated yield 📍 Geotagged locations and map view: capture a farm's location and see it on the map 🦠 Disease catalog: searchable crop diseases and pests tagged by severity (High/Medium) 📴 Offline-first storage: all data is saved locally, so nothing is lost without a signal 🔄 Background sync: pending records upload automatically when the device is back online 📊 Dashboard: live counts of farms, logs, pending syncs, and alerts 🌙 Dark and light themes: comfortable to use in the field 🛠️ Tech Stack: Kotlin • Room • Retrofit • Work Manager Building this taught me a lot about offline-first architecture, local persistence, and reliable background sync, all for a real-world problem in agriculture. 🌍 This was a true team effort across the full development lifecycle, from requirements and schema design to testing and deployment. Big thanks to my teammates H. M. I. S. Herath and H. M. I. C. Sandadinithi 🙌. Building this with you was the best part of the project. 💻 Code on GitHub: https://lnkd.in/g8KQ6shV   #AndroidDevelopment #Kotlin #MobileAppDevelopment #OfflineFirst #RoomDatabase #Retrofit #WorkManager #AgriTech #SmartFarming #SriLanka #StudentProject

Anwar Ansari

We are looking for our first pilot partners. 🌾 If you are an agri-input dealer or farmer cooperative in South Africa, and your customers grow maize, wheat, potato, citrus or vegetables, we would like to work with you this season. What you get: ✅ An AI advisor on your own WhatsApp number ✅ Photo diagnosis and advice in your farmers' languages ✅ Short how-to videos for every recommendation ✅ A console to set your approved products and rules No technical setup on your side. Apply at agroreply.com/news or email info@agroreply.com #PilotProgram #Agritech #SouthAfrica #Cooperatives

20ο Πανελλήνιο Συνέδριο Γενετικής Βελτίωσης Φυτών

⏳ Ο χρόνος μετρά αντίστροφα! Μην καθυστερείς — κάνε την εγγραφή στο 20ό Πανελλήνιο Συνέδριο της Ελληνικής Επιστημονικής Εταιρείας Γενετικής Βελτίωσης Φυτών. 📍 Σέρρες | Elpida Resort & Spa 📅 7–9 Οκτωβρίου 2026 Σας περιμένουμε! #PlantBreeding #PlantScience #Agriculture #Conference2026 #Serres #ΕΕΕΓΒΦ

yharvest

A great milestone for YHarvest - and a good moment to look back at how much has changed over the past months. We were among the Ukrainian AgriTech companies participating in the AgriTech Business Accelerator, a journey that took us from online sessions to two intensive weeks at UC Berkeley in May, followed by months of mentorship and a final in-person session in Ukraine. For YHarvest, the biggest value was not just knowledge. It was the opportunity to challenge how we think about customers, market entry, partnerships and scaling internationally. We are building YHarvest around a simple idea: agriculture needs much better data from the exact place where crops are growing - continuously collected throughout the season and transformed into actionable insights with AI. And now we are moving forward. In October, YHarvest is heading to TechCrunch in San Francisco. It is another important step for us as we expand our international network, explore the U.S. market and meet potential partners, customers and investors. We are ready for new challenges, new markets and the next stage of YHarvest’s growth. Thank you to the Berkeley Fisher Center for Business Analytics, UC Berkeley Haas School of Business, IT Ukraine Association, Chemonics International, mentors, experts and everyone involved in making this program possible. #YHarvest #AgriTech #TechCrunch #SanFrancisco #UkrainianStartups #DeepTech #AI #Agriculture #UCBerkeley #Innovation #Startup

Kista Ogot

Honoured to be featured in the Daily Nation during the Kenya Youth in Agri-Food Systems Summit. 🌱🇰🇪 We shared how digital tools and AI can help bridge Kenya’s agricultural extension gap and deliver timely, accessible advisory services to farmers through FarmerChat. 📱🌾 Grateful to be part of the conversation on the future of agriculture and digital extension. https://lnkd.in/dYN5CXdT #AgriTech #DigitalAgriculture #FarmerChat #YouthInAgriculture #Kenya #AgriculturalExtension

Aditya Solanki

Proud Moment for Team AgroVision! | SIH 2026 I’m extremely happy and proud to share that Team AgroVision has emerged as the Winner of the Smart India Hackathon (SIH) 2026 Internal Hackathon, competing against 74 teams! Our team worked on SIH Problem Statement 26033 — “Multiple intermediaries reduce the earnings of farmers and increase the prices for consumers.” Our Solution — AgriConnect To address this challenge, we developed AgriConnect, a digital platform designed to create a more direct and efficient connection between farmers and markets. Through AgriConnect, our vision is to: *Provide farmers with real-time market information, inputs, and relevant data *Connect farmers with national and global markets *Reduce unnecessary dependency on multiple intermediaries *Help farmers make more informed and profitable selling decisions *Make agricultural products more accessible and affordable for consumers *Improve transparency and efficiency across the agricultural supply chain As the Team Lead, this journey has been an incredible learning experience — from understanding the problem at the ground level to designing a practical technology-driven solution and presenting it to the judges. Most importantly, this achievement was not an individual effort. It was the result of teamwork, countless discussions, iterations, late-night problem solving, and the commitment of every team member. A huge congratulations to my amazing teammates: Vanshika Sehgal Anirudh Mandal Riya Singh Vansh Gupta Tanishq Rawat I’m truly grateful to everyone who supported and guided us throughout this journey. Winning the internal hackathon is not just a result for us — it is a motivation to take AgriConnect further and continue working toward technology-driven solutions for real-world challenges in agriculture. From an idea to a solution, and from a team to a winning team — AgroVision! 🚀🏆 #SmartIndiaHackathon #SIH2026 #Hackathon #AgroVision #AgriConnect #Agriculture #AgriTech #Innovation #ArtificialIntelligence #Technology #Farmers #SustainableAgriculture #Teamwork #Leadership

Prince Solanki

We worked on a problem under the Agriculture & FoodTech theme: "Detection and Management of Crop Diseases and Pest Infestations" (PS ID: SIH26131). The idea was to build a software tool that actually helps farmers spot crop issues early and take the right action before it's too late. ​Brainstorming and building this out with Team Success was an amazing experience. Lots of debugging, endless discussions, and tons of learning throughout the process. ​Still a lot to improve and build upon, but really glad to have taken part in this! ​#SIH2026 #SmartIndiaHackathon #AgriTech #BuildInPublic #Hackathon

Mrutyunjaya Sahoo

𝐅𝐫𝐨𝐦 𝐚𝐧 𝐢𝐝𝐞𝐚 𝐭𝐨 𝐚 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 - 𝐚 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐰𝐨𝐫𝐭𝐡 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫𝐢𝐧𝐠. 🌱 It was a pleasure to mentor this wonderful team, along with my colleague Venkatesh D. Sir, and watch their idea 𝐀𝐧𝐧𝐚𝐃𝐀𝐓𝐀 take shape as a prototype addressing an agricultural problem through AI and data-driven approaches. Being selected among the 𝐓𝐨𝐩 𝟏𝟎𝟎 𝐭𝐞𝐚𝐦𝐬 is a wonderful milestone. Although the team could not make it to the Top 50, the journey gave them an opportunity to explore, experiment, collaborate, and present their idea on a competitive platform. Saswat Palo, Ananya Sahoo, Lorena Mishra, Kailash Das, Swayam Swastik Sahoo, and Omm Dev, it was truly a pleasure to be part of your journey. As first-year students, you have taken a great first step into the world of innovation. 🌟 Keep the spirit alive, keep creating, and let this be the beginning of many more exciting projects ahead! 🚀 Wishing you all the very best! 🌱 #SOA #SOAIdeathon2026 #AnnaDATA #StudentInnovation #AI #AgriTech #Prototype #Mentoring

Narendra Koli

🏆 A Milestone Worth Celebrating! 🌱⚙️ Proud to share that our team Mavericks 8.0 has been recognized with the 🏅 Milestone Achiever Award at the 8th Edition of TIFAN 2026 — Technology Innovation Forum for Agricultural Nurturing. 🤖🌾 Theme: Automated Multi-Vegetable Transplanter 📅 TIFAN Finals: 2nd & 3rd April 2026 🏆 Achievement: Milestone Achiever Award 👥 Team: Mavericks 8.0 🔖 Team ID: TIFAN2026-027 This experience was much more than just a competition — it was an opportunity to design, innovate, solve real-world agricultural challenges, and work as a team. 🚜💡 A big thank you to our mentors, teammates, and everyone who supported us throughout this journey. 🙌 ✨ From an idea on paper to an innovation recognized on a national platform — truly a milestone to remember! #TIFAN2026 #MilestoneAchiever #Mavericks80 #AgriculturalInnovation #MechanicalEngineering #Automation #Agritech #Innovation #Engineering #Teamwork #ProductDesign #Transplanter #SAEINDIA #TIFAN #LearningByDoing 🌱⚙️🏆

Jean françois Takuete

Gestion rationnelle de l'espace en culture hors sol sous serre...

Kushal Singh

🌱 Smart India Hackathon 2026 – Participation Glad to have participated in Smart India Hackathon (SIH) and worked on the problem statement “Early Detection and Management of Crop Diseases and Pest Infestation.” It was a great learning experience that helped me improve my problem-solving, teamwork, and technical skills while working on a real-world agricultural challenge. Grateful for the experience and the opportunity to learn! 🚀🌾 #SmartIndiaHackathon #SIH2026 #Hackathon #Agriculture #AgriTech #Learning #Innovation

Parth Kadlag

🚀 Internal Hackathon Completed! Team Iceberg has officially pitched CropGuard AI. 🌾✨ Today marked a major milestone for our team ( PRATHAMESH DESHMUKH , Shrinivas Chavan , Pranav Gote, Sherya Mane and Gauri Sambhe) at the I²IT campus as we presented our project for the internal evaluation round of the Smart India Hackathon (SIH 2026). Competing under the "Smart Agriculture, Food Tech & Rural Development" theme for the Government of Maharashtra, this was our first time stepping into such a high-stakes judging arena, and the experience was invaluable. 💡 The Pitch & The Pivot: Standing before the jury panel, we showcased CropGuard AI—a zero-hardware, cloud-based software platform engineered to eliminate "canopy blindness" in agriculture. By running browser-based deep learning leaf scans alongside real-time agrometeorological API checks (like the Smith Period for Red Rot), the platform successfully forecasts fungal and pest incubation 48-72 hours before visible symptoms surface. 🧠 Key Takeaways & Judge Validation: Defending our architecture today brought immense technical growth and validation for our hard work: -: Architecture Validation: The judges showed strong interest in our offline-first progressive data sync protocol, designed to handle weak rural internet connectivity by buffering logs locally before syncing. -: Backend Credibility: Having our live Supabase PostgreSQL data pipeline and Google Colab TensorFlow models open and operational proved to the technical evaluators that our analytics were fully functional, not just static concept screens. -: Presentation Under Pressure: Answering rigorous, high-level questions from the jury tested our deep domain research and reinforced the real-world feasibility of our project. A massive thank you to our college mentors for their invaluable feedback today, and a huge shoutout to my incredible 6-member team. Navigating a last-minute structural pivot from hardware to a pure software application while keeping our engineering quality elite required true synergy. The internal presentations are down, the feedback is locked in, and Team Iceberg is ready to scale this platform to the next level as we await the official national selection tracks! 🚀🧊 #smartindiahackathon #SIH2026 #AgriTech #DeepLearning #TensorFlow #Supabase #SoftwareEngineering #TeamIceberg #Innovation #I2IT #HackathonComplete