[HTML][HTML] Research on Soybean Seedling Stage Recognition Based on Swin Transformer
K Ma, J Qiu, Y Kang, L Qi, W Zhang, S Wang, X Xu - Agronomy, 2024 - mdpi.com
Accurate identification of the second and third compound leaf periods of soybean seedlings
is a prerequisite to ensure that soybeans are chemically weeded after seedling at the …
is a prerequisite to ensure that soybeans are chemically weeded after seedling at the …
[HTML][HTML] Research on Swarm Control Based on Complementary Collaboration of Unmanned Aerial Vehicle Swarms Under Complex Conditions
L Zhao, B Chen, F Hu - Drones, 2025 - mdpi.com
Under complex conditions, the collaborative control capability of UAV swarms is considered
to be the key to ensuring the stability and safety of swarm flights. However, in complex …
to be the key to ensuring the stability and safety of swarm flights. However, in complex …
[HTML][HTML] The Detection and Counting of Olive Tree Fruits Using Deep Learning Models in Tacna, Perú
E Osco-Mamani, O Santana-Carbajal, I Chaparro-Cruz… - AI, 2025 - mdpi.com
Predicting crop performance is key to decision making for farmers and business owners.
Tacna is the main olive-producing region in Perú, with an annual yield of 6.4 t/ha, mainly of …
Tacna is the main olive-producing region in Perú, with an annual yield of 6.4 t/ha, mainly of …
[HTML][HTML] Drone imagery dataset for early-season weed classification in maize and tomato crops
Identifying weed species at early-growth stages is critical for precision agriculture. Accurate
classification at the species-level enables targeted control measures, significantly reducing …
classification at the species-level enables targeted control measures, significantly reducing …