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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli by Mohd Ramli, Mohamad Amirul Asyraf

“…This feature includes spectral information, vegetation indices and other quantitative metrics that indicate plant health. …”
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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

“…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran by Ghasemi, Mohammad Mehdi

“…A unit response matrix groundwater model was coupled with a modified version of Genetic Algorithm (GA) in order to optimize cropping patterns and water allocation decisions. …”
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Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach by Ahmad Fakhri, Ab. Nasir, M Nordin, A Rahman, Nashriyah, Mat, Abd Rasid, Mamat, Ahmad Shahrizan, Abdul Ghani

“…However, the algorithm was developed using semi-automatic algorithm which is strongly believed to give an inaccurate feature measurement. …”
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Development Of An Intelligent Water Blending System For Irrigation Of Crops With Various Salinity Tolerance And Aquaculture by Abdullah Al-Jughaiman, Abdullah Sulaiman

“…Two cases were simulated involving two source tanks and four sink tanks with various salinity tolerances. One case was for crop irrigation and the other for aquaculture. Laboratory calibrations on the results produced by the GA indicate less than 10% error between simulated and measured EC of the blended water. …”
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Predictive Analytics in Genetic Engineering as an Optimization Problem by Okewu, Emmanuel, Okewu Kehinde, Bukola

“…Also, the predictive outcomes of the computational simulation that was implemented in Python programming indicate that these local cultivars are developing drought-tolerant genetic variability. …”
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Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia by Rashed, Osamah Zaid Ali

“…The knowledge gathered in this study would be useful for developing crops that are resistant to Rhizoctonia diseases. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

“…Therefore, monitoring of crop development and of crop growth, and early yield prediction is very crucial. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Development of image recognition system for steel defects detection by Chen, Wai Yang

“…For the rusting detection algorithm, a deep learning model, Single Shot Detector (SSD), was trained to detect and crop the hot rolled steel from the input image for colour detection. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

“…The results of this study indicate improved plant growth, enhanced crop yield, and reduced labor efforts for greenhouse cultivation. …”
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Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow by Khan N., Kamaruddin M.A., Ullah Sheikh U., Zawawi M.H., Yusup Y., Bakht M.P., Mohamed Noor N.

“…Current development in precision agriculture has underscored the role of machine learning in crop yield prediction. …”

Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah by Abdullah, Suzanah

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Plant disease detection using deep learning by Cheng, Jung Yin

“…The success of deep learning (DL) has greatly promoted the use of computer vision technology in smart agriculture. Many developments in this area are focusing on timely and accurate recognition of plant disease, with the goals of increasing crop productivity and fostering economic growth. …”
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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

“…The Viola-Jones algorithm is then used for face detection on the processed grayscale images. …”
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Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction by Yafouz A., AlDahoul N., Birima A.H., Ahmed A.N., Sherif M., Sefelnasr A., Allawi M.F., Elshafie A.

Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

“…Integration of vegetation indices, color space model conversion and blob analysis was found capable to generate a better oil palm discrimination map. …”
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Decision support system for optimal design and operation of ponds for watershed runoff management by Al-Ansi, Abdulwahab Mujahed Hasan

“…A watershed runoff management decision support system model (WARM-DSS) was developed to maintain the future development rate with concern for mitigation of its impact to the environment and water quantity. …”
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Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based vegetation indices (VIs). …”
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