[HTML][HTML] A review of machine learning techniques for identifying weeds in corn

A Venkataraju, D Arumugam, C Stepan, R Kiran… - Smart Agricultural …, 2023 - Elsevier
Weeds pose a major challenge in achieving high yield production in corn. The use of
herbicides although effective can be expensive and their excessive use poses ecological …

Greenhouse micro-climate prediction based on fixed sensor placements: A machine learning approach

OS Ajani, MJ Usigbe, E Aboyeji, DD Uyeh, Y Ha, T Park… - Mathematics, 2023 - mdpi.com
Accurate measurement of micro-climates that include temperature and relative humidity is
the bedrock of the control and management of plant life in protected cultivation systems …

The evaluation of deep learning using convolutional neural network (CNN) approach for identifying Arabica and Robusta coffee plants

BTW Putra, R Amirudin, B Marhaenanto - Journal of Biosystems …, 2022 - Springer
Abstract Purpose Arabica and Robusta coffee plants are physically distinctive as manifested
in their leaves, leaf shape, color, and size. However, for ordinary people or those who have …

A genetic programming-based optimal sensor placement for greenhouse monitoring and control

OS Ajani, E Aboyeji, R Mallipeddi… - Frontiers in Plant …, 2023 - frontiersin.org
Optimal sensor location methods are crucial to realize a sensor profile that achieves pre-
defined performance criteria as well as minimum cost. In recent times, indoor cultivation …

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

G Goldenits, K Mallinger, S Raubitzek… - arxiv preprint arxiv …, 2024 - arxiv.org
Digital Twins have gained attention in various industries for simulation, monitoring, and
decision-making, relying on ever-improving machine learning models. However, agricultural …

Low-carbon strategy of demand-based regulating heating and lighting for the heterogeneous environment in bei**g Venlo-type greenhouse

Q Ge, Z Ke, Y Liu, F Chai, W Yang, Z Zhang, Y Wang - Energy, 2023 - Elsevier
Due to the heterogeneity of the large space in greenhouse environment, traditional
environmental regulation will result in over-regulation and under-regulation problems. The …

Optimal placement of laying hen house temperature sensors based on genetic algorithm

X Hu, L Gao, L Huo, L Li, M Er - IEEE Access, 2022 - ieeexplore.ieee.org
The arrangement of temperature sensors in most existing large-scale laying hen houses is
random or placed according to the experience of breeders. However, this can't achieve …

Dynamic neural network modeling of thermal environments of two adjacent single-span greenhouses with different thermal curtain positions

TD Akpenpuun, QO Ogunlowo, WH Na… - Journal of …, 2024 - agroengineering.org
Scientific methods must be used to forecast the greenhouse microclimate, which is
influenced by crop management practices and the surrounding macroclimate, in order to …

Automated approaches for the early stage distinguishing of Palmer amaranth from waterhemp

A Venkataraju, D Arumugam, R Kiran… - Frontiers in Agronomy, 2024 - frontiersin.org
Palmer amaranth and waterhemp are two invasive pigweed species, which have become
most troublesome to crops, especially corn and soybean. Among these two weed species …

Optimization of Temperature Sensor Placement in Multi-Chip Power Modules Using Frequency Domain Analysis

U Azhar, A Aghdaei… - 2023 25th European …, 2023 - ieeexplore.ieee.org
Accurate real-time temperature measurement is crucial for monitoring power modules,
particularly in critical applications. Embedded temperature sensors, such as negative …