Search Results - "machine learning"

Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm by Al Mamun, Md. Abdullah, Sarker, Mou Rani, Sarkar, Md. Abdur Rouf, Roy, Sujit Kumar, Nihad, Sheikh Arafat Islam, McKenzie, Andrew M., Hossain, Md. Ismail, Kabir, Md. Shahjahan

“…With a period of forty years (1981–2020) of weather data, sophisticated machine learning (ML) methods were employed to classify 35 agroclimatic regions into dry or wet conditions using nine weather parameters, as determined by the Standardized Precipitation Evapotranspiration Index (SPEI). …”
Get full text

Automated machine learning: A case study of genomic "image-based" prediction in maize hybrids by Galli, Giovanni, Sabadin, Felipe, Yassue, Rafael Massahiro, Galves, Cassia, Carvalho, Humberto Fanelli, Crossa, José, Montesinos-López, Osval Antonio, Fritsche-Neto, Roberto

“…Machine learning methods such as multilayer perceptrons (MLP) and Convolutional Neural Networks (CNN) have emerged as promising methods for genomic prediction (GP). …”
Get full text

Predicting turbidity dynamics in small reservoirs in Central Kenya using remote sensing and machine learning by Steinbach, S., Bartels, A., Rienow, A., Kuria, B. T., Zwart, Sander J., Nelson, A.

Subjects: “…machine learning…”
Get full text

Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software by Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

Subjects: “…machine learning…”
Get full text

Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa by Gachoki, S., Muthoni, F.K., Mahuku, G., Atehnkeng, J., Njeru, N., Kamau, J., Tripathi, L.

Subjects: “…machine learning…”
Get full text

Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate? by Deb, P., Kumar, V., Urfels, A., Lautze, Jonathan F., Kamboj, B. R., Sharma, J. R., Yadav, S.

Subjects: “…machine learning…”
Get full text

Advancing Soil Moisture Prediction Using Satellite and UAV-based Imagery with Machine Learning Models by Hussain, S., Arshad, M., Cheema, Muhammad Jehanzeb Masud, Qamar, M. U., Wajid, S. A., Daccache, A.

Subjects: “…machine learning…”
Get full text

Estimating Leaf Area Index of Wheat Using UAV-Hyperspectral Remote Sensing and Machine Learning by Rejith, Rajan G., Sahoo, Rabi N., Ranjan, Rajeev, Kondraju, Tarun, Bhandari, Amrita, Gakhar, Shalini

Subjects: “…machine learning…”
Get full text

Machine learning and satellite embedding data for crop type mapping in the Guinea Savanna zone in Ghana by Alabi, T., Muthoni, F.

Get full text

Methodology for the identification of relevant loci for milk traits in dairy cattle, using machine learning algorithms by Raschia, Maria Agustina, Ríos, Pablo Javier, Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

Subjects: “…Machine Learning Algorithms…”
Get full text
Get full text
Get full text

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques by Gómez-Sanchís, Juan, Martín-Guerrero, José D., Soria-Olivas, Emilio, Martinez-Sober, Marcelino, Magdalena-Benedito, Rafael, Blasco, José

Get full text

Modelling agricultural drought: a review of latest advances in big data technologies by Houmma, I.H., El Mansouri, L., Gadal, S., Garba, M., Hadria, R.

Subjects: “…machine learning…”
Get full text

Site-specific fertilizer recommendation using data driven machine approaches enhanced wheat productivity and resource use efficiency by Liben, Feyera, Abera, Wuletawu, Ebrahim, Mohammed, Tilaye, Asmalu, Chernet, Meklit, Erkossa, Teklu, Tibebe, Degefie, Mponela, Powell, Kihara, Job Maguta, Tamene, Lulseged D.

Subjects: “…machine learning…”
Get full text

A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine by Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

Subjects: “…machine learning…”
Get full text

BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation by International Center for Tropical Agriculture (CIAT) Tropical Forages Program, Arrechea-Castillo, Darwin Alexis, Cardoso Arango, Juan Andres

Subjects: “…machine learning…”
Get full text

Can machine-learning models predict gendered labor statistics using mobile phone and geospatial data? by Seymour, Greg, Follett, Lendie, Henderson, Heath, Ferguson, Nathaniel

Subjects: “…machine learning…”
Get full text

Advanced Prediction of Rice Yield Gaps Under Climate Uncertainty Using Machine Learning Techniques in Eastern India by Sahoo, Satiprasad, Singha, Chiranjit, Govind, Ajit

Subjects: “…machine learning…”
Get full text

Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding by Swanckaert, J., Santos, I.G.D., Chaves, S.F.S., Ssali, R.T., Mwanga, R.O.M., Azevedo, C.F., Mendes, T., Boeck, B. de, Eyzaguirre, R., Kitavi, M., Gemenet, D., Andrade, M.I., Grüneberg, W.J., Lindqvist-Kreuze, H., Yencho, George Craig, Campos, Hugo, Silva Pereira, G. da

Subjects: “…machine learning…”
Get full text

Standard Operating Procedure (SOP) for digital imaging and quantification of banana weevil damage using Ilastik and ImageJ (Fiji) by Mwanje, G., Shah, T., Swennen, R., Nakato, G.V.

Subjects: “…machine learning…”
Get full text

Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda by Kenduiywo, Benson Kipkemboi, Wahome, Anastasia Mumbi, Sande, Stephen Ngondi, Chemutt, Joseph Kipkoech

Subjects: “…machine learning…”
Get full text