Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

What to Choose for Estimating Leaf Water Status—Spectral Reflectance or In vivo Chlorophyll Fluorescence?

MTSC-Net: A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots

Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level

CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting

Study on the Optimal Leaf Area-to-Fruit Ratio of Pear Trees on the Basis of Bearing Branch Girdling and Machine Learning

A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD

PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping

AISOA-SSformer: An Effective Image Segmentation Method for Rice Leaf Disease Based on the Transformer Architecture

High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum

A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits

Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition