The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

In this paper we present a multidisciplinary approach combining technical practices with
sensory data to optimize cultivation practices for production of plants using sensory …

With the global population on the rise and a declining agricultural labor force, the realm of
robotics research in agriculture, such as robotic manipulators, has assumed heightened …

This paper proposes a hybrid control system integrating a PID controller and a fuzzy logic
controller, using the particle swarm optimization (PSO) algorithm to optimize control …

Plant phenotyping in general refers to quantitative estimation of the plant's anatomical,
ontogenetical, physiological and biochemical properties. Analyzing big data is challenging …

The implementation of image-based phenotyping systems has become an important aspect
of crop and plant science research which has shown tremendous growth over the years …

This research evaluates the effect on herbal crops of mechanical stress induced by two
specially developed robotic platforms. The changes in plant morphology, metabolite profiles …

One of the most crucial stages in the building of a Machine Learning (ML) model is the
evaluation and analysis of classifier model performance. The agricultural sector is the …

DESIGN OF CONTROL SYSTEM OF SEED METERING DEVICE TEST-BED BASED ON FUZZY
PID / 基于模糊PID 的排种器试验台控制系 Page 1 Vol. 67, No. 2 / 2022 INMATEH - Agricultural …

Digital plant inventory provides critical growth insights, given the associated data quality is
good. Stable & high-quality image acquisition is critical for further examination. In this work …