WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting

Indigenous organic resources utilization, application methods and sowing time replenish soil nitrogen and increase maize yield and total dry biomass

(2022) Imran Imran et al.   JOURNAL OF PLANT NUTRITION

A Convolutional Neural Network-Based Method for Corn Stand Counting in the Field

(2021) Le Wang et al.   SENSORS

Computer-vision classification of corn seed varieties using deep convolutional neural network

(2021) Shima Javanmardi et al.   JOURNAL OF STORED PRODUCTS RESEARCH

DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation

(2021) Saeed Khaki et al.   KNOWLEDGE-BASED SYSTEMS

Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning

(2021) Saeed Khaki et al.   Scientific Reports

Closing yield gaps in oil palm production systems in Ghana through Best Management Practices

(2020) Tiemen Rhebergen et al.   EUROPEAN JOURNAL OF AGRONOMY

Chlorophyll estimation in soybean leaves infield with smartphone digital imaging and machine learning

(2020) Oveis Hassanijalilian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Management practices that maximise gross margins in Australian canola (Brassica napus L.)

(2020) Elizabeth Meier et al.   FIELD CROPS RESEARCH

Monitoring agriculture areas with satellite images and deep learning

(2020) Thanh Tam Nguyen et al.   APPLIED SOFT COMPUTING

Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification

(2020) Wei Han et al.   INFORMATION SCIENCES

Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods

(2020) Etienne David et al.   Plant Phenomics

Flounder-Net: An efficient CNN for crowd counting by aerial photography

(2020) Jingyu Chen et al.   NEUROCOMPUTING

Real-Time Detection for Wheat Head Applying Deep Neural Network

(2020) Bo Gong et al.   SENSORS

Learning a deep network with cross-hierarchy aggregation for crowd counting

(2020) Qiang Guo et al.   KNOWLEDGE-BASED SYSTEMS

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

(2020) Qi Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SCAR: Spatial-/channel-wise attention regression networks for crowd counting

(2019) Junyu Gao et al.   NEUROCOMPUTING

Evaluation and comparison of the precipitation detection ability of multiple satellite products in a typical agriculture area of China

(2019) Fanchen Peng et al.   ATMOSPHERIC RESEARCH

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Yield trends, variability and stagnation analysis of major crops in France over more than a century

(2018) Bernhard Schauberger et al.   Scientific Reports

Agriculture drones are finally cleared for takeoff [News]

(2016) Prachi Patel   IEEE SPECTRUM

Detecting corn tassels using computer vision and support vector machines

(2014) Ferhat Kurtulmuş et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fruit classification using computer vision and feedforward neural network

(2014) Yudong Zhang et al.   JOURNAL OF FOOD ENGINEERING

Why are wheat yields stagnating in Europe? A comprehensive data analysis for France

(2010) Nadine Brisson et al.   FIELD CROPS RESEARCH