AI in Agriculture

This podcast episode will explore the YOLO_MRC model, a deep learning model that can detect and count pests in real-time using images. The model was developed to address issues with existing pest detection methods, such as: 🍈Long inference times: The time it takes for the model to process an image and make a prediction. 🍈 Low accuracy: The ability of the model to correctly identify pests. 🍈 Lar...

In this episode, we dive into the cutting-edge world of smart farming and explore how artificial intelligence (AI) is transforming agriculture, specifically focusing on pitaya (dragon fruit) farming in China. Our discussion centers around a recent breakthrough in precision agriculture with the development of GSE-YOLO, a lightweight, high-precision model based on YOLOv8n. This innovative AI technol...

In this episode, we dive into how advanced weather forecasting models are transforming precision agriculture. From improving water use to boosting crop yields, cutting-edge models like Temporal Convolutional Neural Networks (TCNN) and CatBoost are helping farmers make smarter decisions. 🔍 Key takeaways: 140,160 agrometeorological data points from Morocco's Sidi Rahal region were used to build for...

In this episode of Harvesting Data: The Future of Crop Yield Prediction , we explore groundbreaking research from Purdue University, USA 🇺🇸, that is transforming the way we predict maize crop yields. We will cover: 🌾 How advanced AI and deep learning (LSTM networks) are changing crop yield prediction. 🛰️ The use of multi-modal remote sensing data, including hyperspectral imagery and LiDAR, for mo...

This podcast episode examines research conducted at the Universidade Federal da Grande Dourados in Brazil, focusing on the development of a real-time pest detection system for soybean crops using the You Only Look Once (YOLO) architecture. The research aimed to address the challenges of accurately detecting and classifying 12 classes of soybean pests, including 10 distinct species with two further...

Join us as we explore a game-changing innovation in agriculture: Bud-YOLO, a sophisticated AI algorithm that's poised to revolutionise cotton farming. This episode unpacks the science behind Bud-YOLO, its potential impact on the industry, and the broader implications for the future of AI in agriculture. We'll be speaking about the complexities of Bud-YOLO. We'll cover: The Challenge of Cotton Topp...

This podcast examines the potential of using consumer-grade cameras and open-source software to conduct plant phenotyping research. The sources describe a research project where a custom-built lightbox and a consumer camera were used to capture images of turfgrass in a greenhouse over an 8-week period. The images were then analysed to measure plant cover, colour, and other traits. These measuremen...

Seed quality significantly affects crop yield and production costs in sugar beet farming, yet traditional methods for sorting monogerm and multigerm seeds are inefficient and lead to seed loss—how can AI technology be leveraged to optimize seed classification and improve productivity? In this episode, we dive into research focused on enhancing sugar beet production quality through AI-driven seed c...

In today's episode we discuss study investigates a new method for assessing the quality of maize seedlings using high-resolution drone imagery. It combines a deep learning object detection algorithm, YOLO v8, with Voronoi spatial analysis to extract three key indicators: the Voronoi Polygon Uniformity Index (VPUI), missing seedling rate, and repeated seedling rate. The authors compare their method...

Discover how cutting-edge technology is transforming the way we ensure fruit quality. In this episode, we explore groundbreaking research that combines hyperspectral imaging and deep learning to detect frozen pomegranates. Learn how this innovative approach achieves over 99% accuracy , outperforming traditional methods. We'll discuss the potential impact on reducing food waste, preventing fraud, a...