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- 🌪Threat to Global Food Supply
🌪Threat to Global Food Supply
Is AI the Solution for Agriculture Facing Climate Change
6 minutes read | Every Wednesday & Saturday |
Today's Content
Welcome, Inquisitive Minds 🎉
🌪Threat of Extreme Climate
Unpredictable weather patterns, such as droughts🌞, floods💦, and unseasonal temperature🔥🌬changes, can devastate crops 🥀. These events can lead to lower yields, reduced crop quality, and increased susceptibility to pests🪰and diseases🦠.
Prolonged droughts can cause soil degradation, reducing its fertility and making it harder for crops to grow. Similarly, excessive rainfall can lead to waterlogging and root rot, further impacting crop health and productivity. 🌧️🌞
Despite living in a high-tech world, we ironically find ourselves in the midst of global food shortage😨.
Is technology able to solve this problem? Let's dive into it! 🔍
🤖🧑🏼🌾AgriTech
Agritech, or agricultural technology, is transforming the food production process from farm to plate by integrating advanced technologies such as AI, robotics, and precision agriculture.
🎯AI-powered personal weather forecasts
Over 90% of agribusinesses acknowledge climate change🥵 is affecting their crop yields, with 36.7% reporting highly unpredictable yields due to weather unpredictability. Startups are leveraging AI and machine learning to create weather forecasts🌦for each individual farm, accounting for local conditions and factors that can impact weather patterns. It can help optimize various agricultural operations, including 🧑🏼🌾labor management,💦water usage for irrigation,🪰pesticide and fertilizer application, and overall risk mitigation.
🚁AI and drones
AI and drones are being utilized to enhance crop monitoring, yield predictions, and overall resilience against the impacts of climate change. It aims to make farming more effective and predictable by leveraging data and analytics collected tirelessly by 🚁 drones, to optimize operations and mitigate the effects of climate change. See how it works in the Kenya Rose Farms👇🏻:
💦AI Irrigation Water Management
AI systems, combined with sensors and satellite imagery, enable precise irrigation scheduling. This ensures water is🚰 applied only when and where it’s needed, significantly reducing waste and conserving water resources. Advanced algorithms analyze soil moisture, weather forecasts, and crop needs to make real-time adjustments, promoting efficient water use and improving crop yields.
🦾AI Robot Harvesting
As shown in below video, autonomous robot is capable of navigating through greenhouses and harvesting strawberries🍓safely and reliably, working all day long without breaks. The robot uses image recognition software to determine which strawberries are ripe and ready for picking, avoiding unripe or overripe fruits.
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🚛 AI Powered Supply Chain
Minimize Crop Losses
Crop losses before reaching consumers are staggeringly high. Studies show that around 30% to 50% of crops are lost 😨, with estimates ranging from 33.7% of edible produce left unharvested in fields on large farms, to 20-30% postharvest losses from improper handling caused by poor storage, transportation, and market forces that make selling unprofitable.
On-farm losses are driven by factors like🥵weather, 🦗pests,🧑🏼🌾 labor shortages, and strict cosmetic standards from buyers📦🏷 .
AI may be able to reduce crop and food loss during the supply chain through various innovative applications:
📊Predictive Analytics: AI analyzes weather data, soil conditions, and crop health to predict the best harvesting times, reducing losses due to premature or late harvests.
🎯Precision Agriculture: AI-driven tools adjust irrigation and fertilization based on real-time data, minimizing resource waste and enhancing crop yields.
🌾Automated Harvesting: Robots equipped with AI perform precise and timely harvesting, reducing physical damage to crops that often occurs with manual processes.
🚛 Supply Chain Optimization: AI optimizes routing and logistics, ensuring that perishable🥀goods are transported efficiently, reducing spoilage during transit.
📊Demand Forecasting: AI forecasts consumer demand more accurately, helping producers and retailers to adjust supply levels, thus minimizing overproduction and subsequent waste.
By implementing these technologies, the food industry can significantly decrease the amount of loss and waste from farm to table🥗🍽 improving sustainability and efficiency.
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🧔🏻♂️Brian Smith - CEO
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