[HTML][HTML] The role of living labs in cultivating inclusive and responsible innovation in precision agriculture
Context The emergence of precision agriculture technologies has brought forward new
opportunities and challenges in the agricultural sector. Objective We delve into the role of …
opportunities and challenges in the agricultural sector. Objective We delve into the role of …
Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging
G Sun, Y Zhang, H Chen, L Wang, M Li, X Sun… - European Journal of …, 2024 - Elsevier
High-throughput estimation of soybean yield using unmanned aerial vehicle (UAV) imagery
can help improve the efficiency of soybean breeding. Previous studies have mainly focused …
can help improve the efficiency of soybean breeding. Previous studies have mainly focused …
Predicting China's Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms
L Miao, Y Zou, X Cui, GR Kattel, Y Shang, J Zhu - Remote Sensing, 2024 - mdpi.com
A timely and accurately predicted grain yield can ensure regional and global food security.
The scientific community is gradually advancing the prediction of regional-scale maize yield …
The scientific community is gradually advancing the prediction of regional-scale maize yield …
Will artificial intelligence and machine learning change agriculture: A special issue
In agriculture, important unanswered questions about machine learning and artificial
intelligence (ML/AI) include will ML/AI change how food is produced and will ML algorithms …
intelligence (ML/AI) include will ML/AI change how food is produced and will ML algorithms …
Soybean prediction using computationally efficient Bayesian spatial regression models and satellite imagery
RJ Fischer, HM Rekabdarkolaee, DR Joshi… - Agronomy …, 2024 - Wiley Online Library
Preharvest yield estimates can be used for harvest planning, marketing, and prescribing in‐
season fertilizer and pesticide applications. One approach that is being widely tested is the …
season fertilizer and pesticide applications. One approach that is being widely tested is the …
Detection and mapping of Amaranthus spinosus L. in bermudagrass pastures using drone imagery and deep learning for a site‐specific weed management
Weed encroachment negatively affects pasture productivity by reducing herbage allowance,
stocking rates, and livestock performance. Amaranthus spinosus L. is a weed species widely …
stocking rates, and livestock performance. Amaranthus spinosus L. is a weed species widely …
Sustainable Agriculture-Based Climate Change Training Models using Remote Hyperspectral Image with Machine Learning Model
M Durairaj, K Rubenraju, BVR Krishna… - Remote Sensing in …, 2024 - Springer
In order to help farmers and crop managers better understand the elements influencing crop
status and growth, hyperspectral and multispectral data processing methods have shown to …
status and growth, hyperspectral and multispectral data processing methods have shown to …