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[HTML][HTML] A review of machine learning techniques for identifying weeds in corn
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 …
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
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 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
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 …
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
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 …
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
Digital Twins have gained attention in various industries for simulation, monitoring, and
decision-making, relying on ever-improving machine learning models. However, agricultural …
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 …
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 …
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
Scientific methods must be used to forecast the greenhouse microclimate, which is
influenced by crop management practices and the surrounding macroclimate, in order to …
influenced by crop management practices and the surrounding macroclimate, in order to …
Automated approaches for the early stage distinguishing of Palmer amaranth from waterhemp
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 …
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 …
particularly in critical applications. Embedded temperature sensors, such as negative …