OrgHealth’s Post

Farming is an incredibly innovative profession, and I appreciate how this article from Ronald van Loon shines a light on the ways the agriculture industry is adapting and changing with AI technology. #collaborativeculture #aginnovation #organizationalhealth #orghealth #aitechnology

Bridging Tech and Impact in Agriculture In a data-driven world, I have witnessed businesses & organizations experience the transformative power of data-driven strategies,  integrating emerging technologies, particularly in mission-driven industries like AI, geospatial technology, and agri-tech. What is certain! Data technology is the key to addressing challenges in today's agriculture sectors. It has the potential to enhance crop value, optimize resource allocation, and foster sustainability. And also  Data-driven platforms, such as yield prediction tools, are pivotal. They not only improve crop value but also streamline resources and promote sustainable practices. But because of climate challenges and growing demand, a negative consequence can occur. Resource scarcity, extreme weather, and complex supply chains hinder food production. Many agricultural systems still rely on outdated methods, leading to inefficiency and underutilization of technology. So, how do we resolve this issue? Integrating data-driven technology in agriculture is crucial. It addresses multifaceted challenges like resource scarcity and climate impact, supporting better risk management and improved market access. Recommended 4 actionable steps: 1. Identify community needs: Understand the specific needs of the agricultural community.. 2. Select appropriate technology: Choose the right tools & platforms that align with those needs. [Here’s the challenge] 3. Train local leaders: Ensure that local leaders and farmers are educated on how to use these technologies effectively [adoption] 4. Monitor and adjust:Continuously monitor the implementation & make necessary adjustments to optimize outcomes [and think of scaling] Take this initiative and unlock sustainable agricultural impact. The synergy between data & agriculture is undeniable.  For example, integrating yield detection for crop sellers can bring valuable insights and facilitate informed decisions. With such awareness, it gets better on how integrate technology thoughtfully, enriching communities and creating a future where it not only thrives but also significantly impacts the grassroots level. Now innovation is a must-have to see progress, and with such awareness and training, it shapes future leaders to integrate technology thoughtfully. #AgriTech #DataDriven #Sustainability #Leadership #Innovation #Agriculture #TechForGood

Making a positive #impact requires partnerships. 🤝 That's why we are happy to be actively involved in Microsoft's Entrepreneurship for Positive Impact program which supports us on our way to delivering scalable digital solutions. ✅ 🌎 💡 Our solution is not just in bringing a simple farming app to growers, we are developing cutting-edge #technology and leveraging the power of #AI to support farmers to be more efficient and profitable, to reduce waste, and to lower barriers to entry for a new generation of farmers. ➡ More about how we make an impact with our AI agronomic advisory solution developed with Microsoft technology, read in the #BuildFor2030 interview with Gena Goh and Matija Zulj. 🔗 https://lnkd.in/dKJyYFKe

🌎 𝗜𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗻 𝗙𝗼𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗳𝗿𝗼𝗺 𝗗𝗮𝘃𝗼𝘀  Vivent is delighted to be invited to #WEF24 in #Davos this week by UpLink - World Economic Forum . UpLink is the World Economic Forum’s open innovation platform which creates bridges for entrepreneurs to connect to an active community of organisations that support the scaling of innovation to drive positive change for people and the planet.   The theme of this year’s summit is “Rebuilding Trust” including transparency, consistency and reliability and there are many sessions on “Climate and Nature”, the “Future of Work”, “Fairer Economies” and “Energy Transition”.   Vivent’s aims for the summit are to exchange ideas on how we can scale exciting technology like decoding #biosignals to improve food security and to contribute to more sustainable agriculture. Vivent uses Artificial Intelligence #AI and #machine learning to decode naturally occurring plant biosignals, and there are lots of sessions in #Davos on leading edge thinking on AI which we are looking forward to attending. We are also keen to listen to leading edge thinking on nature-based solutions. Our work on continuous crop monitoring shows convincing evidence of how information drives evolution and we are already making exciting breakthroughs in understanding interactions between, plants, soil and climate which will help develop a more profound understanding of biodiversity. Many of our contacts have asked if it is possible to follow the sessions running this year and the answer is YES! Beatrice Di Caro has written a great article with links to all the channel which you can read on this link: https://lnkd.in/eA_c4mTc

Where is the problem in agriculture adopting technology? ⬇ There is no lack of technologies and innovations. However, there is still a great opportunity and incentive for different stakeholders, from public to private sector across the agri-food industry to support farmers in overcoming challenges that prevent them from wider technology adoption - from sharing innovation cost, education, hard habit creation (change management), to choosing the right technology that brings ROI. Let’s take Generative AI for example ✅ it presents a fast-scaling technology solution that doesn’t require a major shift in business processes, deeper tech knowledge, or experience, but can give farmers valuable support in a form of natural conversation. For example, agri-food companies worldwide can now easily launch their AI-driven agronomy advisor 🤖 with the support of AI platforms like AGRIVI Engage that are available as managed services requiring no internal AI know-how from agri-food companies. This allows companies to empower all farms 🌾 in their eco-systems with immediate access to knowledge and advice through channels they already use, while removing adoption barriers of cost, education and habit change. ❌ The status quo is the worst scenario when we talk about food production. Pressure on making global food production sustainable has never been greater and pressures are getting more intense with every single day of status quo. ❕ Technology must provide a clear ROI, and doing so, it is a key ally in breaking the status quo. #agriculture #sustainability #future #food #technology #agtech

Are you a visionary thinker? The agriculture landscape has transformed over the last decade! Gone are the days when agriculture was just a career path for those with a farming background. A new era of innovative roles is emerging, blending AI, agribusiness, data science, and more. This fusion is attracting a new generation of visionary thinkers who see agriculture as a cutting-edge frontier for technological advancements and sustainable progress. Embrace technology now and be part of the present and future! Let's connect if you're passionate about #Agriculture, #Technology, and #Sustainability.

Need for a startup focused on data analytics and AI to identify gaps in agricultural research, prioritize research areas, and optimize resource allocation. Agricultural research often lacks cohesion, funds, and productivity. Researchers struggle to pinpoint urgent study areas due to incomplete data review, which results in redundant work and lost chances. Limited budgets slow down progress in tackling key issues like climate change, food security, and sustainable farming. There is an immense need for a tech company that aims to cause a revolution in farm research through cutting-edge data analysis and AI. It has to be capable enough to use large sets of data on farming methods, weather patterns, and study results to spot crucial research gaps, rank high-value projects, and assign resources for the best returns. There system will help researchers, policy experts, and investors to make choices based on facts speeding up farm breakthroughs and boosting global food security. An AI-powered platform that collects and analyzes agricultural research data to uncover valuable insights, by identifying key research areas and optimizing resource allocation, the platform shall aim to enhance agricultural research efficiency and impact, providing actionable recommendations through user-friendly visualizations. The target audience can be organizations involved in agricultural research, including government departments, research institutions, private foundations, agritech firms, and international development agencies. #need4startup

Businesses and organisations need to view strategy through the lens of 'option farming'. 👨🌾 It's a uniquely valuable way to see your risk and opportunities and is as much about a mindset, 💭 as it is about analytics. 📈 While BCG and others have now started writing and evangelising about 'optionality' and learning from biology, at Turing Meta, it really is in our DNA :) We're built to leverage exclusive cutting-edge biological research you're unlikely to see available anywhere else. As a result, we can help you to cut through the complexity and tweak your technology roadmap in a way that can make all the difference to the long-term success of your organisation. If you're facing a struggle to see through the complexity, or intuitively you have a good idea of the issues but struggle to articulate it to executive level meetings, we can help. And because of our depth of experience in industry we're experts in working with others to deliver these as actionable insights in accessible ways, both in terms of informal training, coaching, and analysis, as required. So, to understand what 'option farming' looks like for a company dependent on technology, or which makes and sells technology products to others, just take 10min to read the whitepaper. 👇 #organicity #strategyconsulting https://lnkd.in/ezCGTmwX Credit: Physics Focus / A. Wissner-Gross/Harvard Univ. & MIT

Do we have time to explore? In my recent ECPLF talk, I presented the following slide. It’s a rough and overly linear model comparing the reported adoption rate of PLF technology in the dairy cow sector in Italy (1984 - 2024) with the number of registered farms per year in Italy (2004 - 2024). I'm not an economist, so I didn’t account for various trends like early adoption, generational gaps, transition from a national to EU-based economy, growth in digital literacy, selective pressure, and many other factors. However, even this rough model highlights a significant issue. If the adoption rate of emerging PLF technologies in small and extensive farms mirrors that of the dairy cow sector, we risk losing a large portion of the sector before it matures. We can’t afford the same slow pace, with years spent on costly product placement and refinement. That said, I’m optimistic about the future—especially as we develop a more open, transparent environment fostering constructive feedback. I’d like to acknowledge some recent connections: 1) Daniel Foy: Advocates for data standardization, data ownership, and collaborative development models. 2) Jean-Marc GAUTIER: Provides tech developers with direct routes to field trials and feedback from farmers. 3) Jacopo Goracci: Brings firsthand experience from running an innovative farm to scientific and policy forums. 4) Dries Berckmans: Offers direct, no-nonsense advice for navigating the industry and early-stage markets. There are many other great contributors in science, industry, funding, and the farming community itself. We’ve been fortunate to meet many of them on our journey with Regrowth. So yes, I’m optimistic, despite the challenges and frustrations. P.S. If you’re into agri-tech economics, tech adoption modeling, and interested in the future of farming, let me know! I’m working on refining this model into a useful prognostic tool over the next year, and it would be great to collaborate.

The future of agriculture hinges on the integration of climate-smart technologies and education. By leveraging artificial intelligence, big data, and innovation, youth in developing countries can turn agricultural challenges into growth opportunities. Here’s how: https://ow.ly/ntM750SlqsL