I would develop an app to assist small farms in building structured data profiles for their product. This would essentially improve the 'discoverability' of products by AI and other large buyers. Many smallholders, such as here in Malaysia produce premium products without digital infrastructure to connect with large markets. My app would help them efficiently collect data about every aspect of their product, including soil type, water source, organic certification and yields. This information would be displayed in a machine-readable format on a 'fact sheet.' The objective is to bridge the information gap. When the procurement AI from a major grocery retailer searches the digital environment for sustainably grown products with particular characteristics, those farms with the app will appear in the search results. The app transfers the hard work and quality on a farm into a format that a contemporary data-driven supply chain can depend on and understand, while providing a conduit for farms to access greatly enhanced economic opportunities.
If given the opportunity to develop an app with a focus on improving agriculture, I would design a FarmLink program that would connect small-scale farmers with local buyers, suppliers and agronomists in real-time. Farmers would be able to list and value their surplus quantities for sale efficiently, supply pricing data for nearby markets and chat with crop experts (including using uploaded photos and images). It would match them with transport options so that the surplus reaches the buyer before spoiling. This would reduce the amount of post-harvest loss, raise the income of the farmers and shorten the supply chain. The buyers would also have access to fresh (less than a day old) products at a lower price, and the local community would now have a direct connection to farm products, which in turn enhances the local economic structure.
I would create an app for predicting crop yield that uses satellite imagery, data from soil sensors and weather patterns to allow farmers to make accurate decisions about when to plant and harvest their crops. The app would analyse the historical performance of the fields and current environmental conditions to predict the best time to plant and the volume of harvest expected for each part of the farmland. This information helps farmers get the most productivity while wasting the least amount of food from poor timing decisions. The app would feature a marketplace of farmers and buyers that would be linked directly to each other based on predicted amounts to harvest crops and crop quality grade. Restaurants, grocery stores and food processors could make advance orders for certain crops, ensuring that farmers would have sales even before they sprouted seeds. This removes the uncertainty which is responsible for many farmers under-planting or being overproducing their crops (which they cannot sell profitably). I chose this approach because agriculture suffers from information gaps that can be easily addressed by data integration through technology. Many decisions farmers make are based on local knowledge when satellite images and weather analysis could be far more accurate. The marketplace element solves a distribution issue whereby farmers are left at the mercy of price changes and unsold crops; it creates a solid economic base for agricultural businesses.
While I am not an a developer, my idea to support agriculture is create an app that acts almost as a "digital greenhouse manager" for small farmers. It would bring together hyper-local weather monitoring with soil health information, water availability and crop cycle forecasting. A farmer can input details about land and crops and then use the app to receive tailored alerts such as watering recommendations, clues on when to plant crops and when to expect pest risk based on nearby activity. The reason I would build this is because most small-scale farms lack access to advanced equipment that large-scale operations make use of and they are those who suffer the most due to unpredictable weather conditions and resource scarcity. Providing actual data and simple advisory and guidance capabilities to put in their pocket would allow them to reach higher productivity without wasting water or fertilizer.
If there were one app that could revolutionize agricultural advancement, it would be a farmer-to-people connection app that blends farm-friendly access to localized weather, soil conditions, and market values with potential satellite imaging and IoT readings. Farmers could receive optimal advice about planting and watering schedules, receiving profitable growth solutions on when to maximize yields and how to keep crops healthy without breaking the bank. Furthermore, a marketplace feature could allow farmers to sell directly to consumers at fair prices without relying on money-hungry middlemen. Ultimately, such an app would stabilize the world's food supply and render agricultural activities more efficient, effective, and lucrative for the farmer.
What I would create is an app that connects small-scale farmers with surplus perishable goods to potential local buyers within a 25-kilometer radius in real-time. Many farms lose up to 30 percent of crops during harvest because they aren't able to move the crops fast enough. The app would display actual stock levels, harvest times, and pick-up availability so restaurants, markets and even community groups can claim and pick up items on the same day. Also, I would include a feature that predicts spoilage windows, based on the crop type and temperature readings recorded by farmers using simple Bluetooth-connected thermometers. For example, if a farmer harvested lettuce at 7 am, and the lettuce was stored at a temperature of 5 degrees Celsius, the application would provide an estimated freshness window of 48 hours. If the buyer saw a countdown, the buyer could coordinate transportation before the spoilage period ended, which could happen before they were able to even pick it up. This would reduce food waste, increase income for farmers and provide the local community with fresher food that is at a much lower price than one would pay through traditional value and supply chains.
If I could build an app that will improve agriculture, I'd build a crop traceability app that shows the full story of crop, from farm to the table, using blockchain. Every step would be recorded in a secure way. A shopper could scan a QR code on a bag of carrots and see the farm where it came from, the date it was harvested, and the exact path it took to the store. This kind of detail builds consumer trust because people know exactly what they're bringing home to their families. Farmers and suppliers could use it to highlight freshness and responsible practices instead of competing only on price. If a shopper sees that lettuce was harvested and reached the store all within the span of 48 hours, that proof of freshness can justify the price.
I would create an app that would assist farmers protecting them from never again losing tax benefit that is already available to them, but often unclaimed. There are deductions in agriculture for equipment, land improvements, conservation, and R&D work, and still many farmers don't get them because their records are not comprehensive or accurately formatted. The app would help them in real-time place individual purchases and activities in a format that are ultimately converted to IRS documentation that prevents thousands of dollars to be left unaccounted for each season. Establishing a link between each transaction to its tax outcome satisfies everyone and protects farmers from financial shocks, strengthens compliance and preserves profit that can be redirected towards their land, livestock, or tech investments to secure long-term viability and growth.
What I would create is an app designed to accurately calculate the return on investment for specific assets on the farm. This tool would allow a farmer to enter the cost of a new piece of equipment, such as a new $20,000 drone for spraying crops and measure the savings from labor & materials against the initial outlay. The app could then give the projection that this one purchase would pay for itself in 18 months and the farmer would make an additional $15,000 in profit over the next four years of ownership. It would allow for business purchases to be turned from an educated guess to an actual business decision. Giving farmers this clear financial data allows for greater precision in managing their operations and helps them secure better financing for growth opportunities in the future.
While I am not an app developer, if I had the chance, I would develop an app connecting small-scale farmers with surplus construction materials from job sites nearby. I work with contractors daily and have seen how many usable materials like timber off-cuts, metal sheeting, and plastic piping are thrown away. Farmers can use a lot of these items to build irrigation channels, build water tanks, build greenhouses, or build storage sheds without having to pay thousands of dollars to buy new supplies. The app would show materials available within a 50-mile radius and arrange transportation through local haulers that have empty return trips. It would include quality photos, weight and dimensions of each batch so farmers can know what exactly they are getting. Dedicating a mere 20 percent of all the wasted construction materials in landfills to our farmers would save hundreds of dollars for farms a year and cut down on landfill waste. This app creates a steady bridge between two industries that do not often interact but are in the same communities.
What I would create is an application that specializes in proactive repair maintenance for irrigation for farms. The system would use inexpensive sensors to monitor water pressure and flow throughout farm irrigation pipes in real-time. The app's software would learn what normal operations look like, and then immediately alert the farmers when things don't look right, such as a 10 percent drop in pressure that indicates a new leak on the system, or a gradual, unfactored decrease in flow rate that signifies a clogged filter. This could save a farmer thousands of dollars every season in lost crops and water bills.
I would build an app that makes it easy for farmers to sell directly to schools. Farmers could post what they have harvested that week. Schools could log in, see what is available within 50 miles, and place an order right away. The food could be in the cafeteria within a few days instead of traveling over 1,000 miles. This helps farmers earn steady income and avoid losing hundreds of dollars in unsold produce. It also gives students high quality and fresh food that tastes better and has more nutrients. Parents and schools could see where the food comes from through farm profiles with photos and safety certifications. This app will reduce food waste, and help farmers, schools, and families have access to healthy food at a lesser cost.
I would create an AI-enabled application to remove agricultural surplus using hyper local matching. The main problem the app would solve is the enormous amount of produce that goes to waste just because small and medium sized farmers are not able to easily connect with local buyers for their varied harvests. For example, a farmer might log an excess, or surplus of 200 kilograms of ripe tomatoes that need to be sold within the next 48 hours. The AI monitoring will immediately check the stock and purchasing behavior of restaurants, grocers, food banks and others nearby to see who needs the tomatoes, and create a micro-bidding war or arrange a sale. A local Italian restaurant is notified and buys 50 kilos of it for the sauce they will need this week, for example. The app could deliver an optimized route to connect that transaction with other nearby consumers who placed orders that week and wanted the fruits and vegetables delivered. What this achieves is that farmers sell more produce and local communities receive food that is fresher and healthier.
My interest lies in developing a crop disease detection application driven by artificial intelligence techniques. Given my experience working with image recognition algorithms on a number of SEO projects, I have observed how visual pattern recognition can address tangible projects. On average, farmers lose approximately 20-40% of their crops each year as a result of diseases, and early detection could alleviate the vast majority of that waste. The application I am envisioning would leverage a smartphone camera to take a picture of the infected plant, allowing for real-time assessment for diseases, pests, and nutrient-related issues. The AI would allow farmers to have access to treatment options based on severity. What would be the most unique part of my application is the community engagement aspect. Farmers would be able to share successful outcomes of treatment for different pests and diseases, creating a living, breathing encyclopedia of knowledge to continuously refine and improve use. It would take suitcase information from treatment growers, and track the effectiveness of those options, by grower region and weather conditions. Coming from a program management background, it has been phenomenal for me to see how data-informed decision-making leads to positive and transformational results. The application would create a database, with anonymized data on crop health so that agronomists could track emerging threats and preventative avenues moving forward. The business model practically develops itself given the range of premium features that the application could provide in the future, in addition to forecasting weather, market prices alerts and personalized farming calendars. Connectivity issues remain a barrier for rural internet access, so having offline applications would be essential. In addition to my background in incorporating and optimizing platforms that were designed to encourage user engagement, it would be paramount that farmers would actually use the tool consistently, and that the farming application wouldn't just end-up as a forgotten download, but support and transform agricultural practices.
My choice would be the creation of such an application like Supply Chain Survival, which will help farmers manage the difficulties of a supply chain before it evolves into a disaster. Because our daily operations of DDR BBQ Supply were crippled by the lack of equipment, delivery window, suppliers failure and others, I know how a breakdown in the supply line can kill the business in no time. This application would be tracking the real-time availability of the seeds, fertilizers, fuel and parts available of the equipments in more than a supplier. The game-changer would be predictive modeling on the grounds of weather, geopolitics, and the market volatility. The decentralization of suppliers would have been practiced by farmers before scarcity because I learned to hedge our grill manufacturers due to poor supply chain arrangements both by a single supplier. The platform would also be able to share resources between the farmers-to-farmers. In stock-out situations, we tended to locate the desirable types of items in the local company enterprise that possessed dust. This would be an application to align the extra resources with the emerging requirements in real-time. Most importantly it would be automated such that buying decisions are made at the time of the year according to the pattern of seasons as well as the market information. I have noted many businesses fail because they are not able to know when to have bulk stock and at what point to maintain a lean stock. The last supply chain company is the agricultural one. Under this application, this would give farmers the same strategic capability to buy the produce that brought salvation to my company in many crisis situations.
Over the past five years, my wife and I—with help from our kids—have built a homestead from the ground up. We planted two orchards, developed a large berry patch, and committed ourselves to growing natural, healthy food for our family. But as rookie homesteaders, we quickly realized that tending to the health of plants isn't as simple as watering and waiting. Too often, we discovered signs of trouble—fungus from the soil, invasive bugs, or nutrient deficiencies—after the damage was already done. We lost several trees and plants before we even understood what was going wrong. What we needed was a tool that could help us see these issues coming before they took root, literally. So, if I could build one app to improve agriculture, it would be a plant health scanner. Using a smartphone camera and AI, the app would allow users to scan their trees or plants and instantly receive a visual health report—flagging early signs of disease, pest infestations, or nutrient imbalances. It would also provide actionable suggestions tailored to their specific plants and location. This kind of tool could empower both new and experienced homesteaders to feel more confident in expanding their orchards, berry patches, or vineyards—knowing they have a virtual assistant helping them monitor the health of their crops before problems escalate. For anyone who dreams of living closer to the land, tools like this could help make that dream sustainable. Biographical Info: Richard Robbins is a father of nine children, who he helps his wife homeschool. Richard and his oldest boys have recently begun using AI and prompt engineering to build web and mobile apps, including ones that will help them become better at growing healthy crops. Website: https://robbinsathletics.com Headshot: https://www.dropbox.com/scl/fi/p09ldhlycbot8srzrblum/richard-robbins-headshot.jpg?rlkey=6rn8u3x3d5lltpmxkyf2c27fd&st=bcrsrd0z&dl=0
I would create a soil to body health monitoring system, which would be able to track the nutrients of crops and also track the biomarkers of farmers in real time. Little are aware that harmed soil directly affects human health through the food chain and the farmers are victims to this first. I have observed men, in my clinics, who are unexplainably sore and have low testosterone and work in mineral deficient soil. They are getting tired as their soil. My application would incorporate soil sensors and wearable gadgets used to monitor vitamins, mineral status and hormone balance of the farmer. Imagine a farmer of wheat whose soil analysis reveals that there is a lack of zinc. The app would also show his own levels of zinc decreasing and predict any problems with his immune system and suggest specific supplementation before he falls ill. I had a dairy farmer last year who had a sharp deficiency of magnesium which was exactly the same as his pasture soil results. He was adding to his cattle and not to himself. This two way monitoring forms individualized nutrition programs depending on what is lacking in soil and farmer body turning preventive medicine in rural areas.
If I wanted to create an application for agriculture, it would be a smart tool that utilizes AI to help farmers make real-time data-driven decisions. The application would access satellite images, weather forecasts, soil sensors, and market analytics to give each respective farmer a tailored decision-making product in regards to planting schedules, irrigation schedules, pest controls, and harvesting times. For smallholder farmers, it would also include micro-financing tools and a market feature that allows for a direct buy/sell feature between farmers and buyers, removing some of the reliance on third-party brokers. This kind of developed application can help farmers improve yield and sustainability while giving them tools to be more profitable and resilient to climate change. This application can bring benefits to a smallholder while maintaining some accessibility standards.
Instead of giving generic agricultural advice, my solution would be to develop a localized knowledge sharing platform which would link farmers with existing effective solutions from similar growing conditions. Most farming problems are hyperlocal, in that they're particular to soil type, climate patterns and varieties of crops, for example, which can't be efficiently solved using general resources. The application would connect farmers with similar issues with other farmers who have already overcome similar issues in similar locations. Key to winning the trust of potential users would be verified results as opposed to content which is designed for advertising purposes, tracking solution outcomes and demonstrating which recommendations actually led to increased yields or cost savings for specific farming scenarios. This data-driven approach would allow farmers to find out which sources of advice are most reliable, while also building credibility for the contributors who are continuously providing effective solutions to the issues. The goal is to go from agricultural knowledge that is internalized and used for trial and error to one that is cooperative and supports the problem-solving for a whole farming community.
I would create a basic mobile application which provides farmers with satellite data and soil sensor information and hyperlocal weather updates to generate immediate alerts. The application would send farmers two types of alerts through text messages: "Rain in 3 hours--delay pesticide." and "Soil nitrate dropping--apply light fertilizer next week." The platform delivers essential information through simple text messages which use the farmer's native language while avoiding complex dashboards and unnecessary features. Our previous client implemented a logistics tracking system for small farmers but the main challenge involved understanding the system rather than getting users to adopt it. The majority of available tools present users with overwhelming amounts of information. The system enables users to make one-button decisions for precision agriculture which leads to improved yields and financial gains and potentially transforms the entire village economic system.