Resultados de búsqueda - "machine learning"

Soybean rust early warning system in East and Southern Africa por Gachoki, S., Muthoni, F., Mureithi, H., Tripathi, L.

Materias: “…machine learning…”
Enlace del recurso

Mapping aflatoxin risk using machine learning and remote sensing in East and Southern Africa por Gachoki, S., Muthoni, F., Mahuku, G., Atehnkeng, J., Njeru, N., Kamau, J., Tripathi, L.

Materias: “…machine learning…”
Enlace del recurso

EasyIDP: A python package for intermediate data processing in UAV-based plant phenotyping por Wang, Haozhou, Duan, Yulin, Shi, Yun, Kato, Yoichiro, Ninomiya, Seishi, Guo, Wei

Materias: “…machine learning…”
Enlace del recurso

Machine Learning Approach for Prediction of Area Under Cultivation and Production for Vegetatively Propagated Crops por Ahishakiye, E., Ogero, K., Namada, S., Rajendran, S.

Materias: “…machine learning…”
Enlace del recurso

Mature products & assets: AGROTUTOR por Excellence in Agronomy

Materias: “…machine learning…”
Enlace del recurso

Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery por Cardoso Arango, Juan Andres, Jauregui, Rosa Noemi, Camelo-Munevar, Rodrigo Andres, Ruiz-Hurtado, Andres Felipe, Arrechea-Castillo, Darwin Alexis

Materias: “…machine learning…”
Enlace del recurso

Fine-tuned AI for tracking policy demands and studies por Yego, Francis, Song, Chun, Laporte, Marie-Angelique

Materias: “…machine learning…”
Enlace del recurso

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

Materias: “…machine learning…”
Enlace del recurso

Machine learning approach to predicting Rift Valley fever disease outbreaks in Kenya por Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Materias: “…machine learning…”
Enlace del recurso

Farmers agronomic management responses to extreme drought and rice yields in Bihar, India por Mkondiwa, Maxwell, Kishore, Avinash, Veettil, Prakashan Chellattan, Sherpa, Sonam, Saxena, Satyam, Pinjarla, Bhavani, Urfels, Anton, Poonia, Shishpal, Ajay, Anurag, Craufurd, Peter, Malik, Ram K., McDonald, Andrew J.

Materias: “…machine learning…”
Enlace del recurso

Forages ROIs: Automated forage grass detection in aerial imagery por Ruiz-Hurtado, Andres Felipe, Camelo-Munevar, Rodrigo Andres, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

Materias: “…machine learning…”
Enlace del recurso

Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya por Lakew, Haileyesus Belay, Taye, Meron Teferi, Lino, O., Dyer, E.

Materias: “…machine learning…”
Enlace del recurso

Video based deep learning deciphers honeybee waggle dances in natural conditions por Grison, Sylvain, Siddaganga, Rajath, Hedge, Shrihari, Burridge, James, Blok, Pieter M., Krishnan, Smitha, Brockmann, Axel, Guo, Wei

Materias: “…machine learning…”
Enlace del recurso

Recent development and innovative tools for climate and hydrological data collection and analysis in the Abbay Basin por Getaneh, Yonas, Abera, Wuletawu, Ayehu, Getachew Tesfaye, Degefie, Tibebe, Tamene, Lulseged

Materias: “…machine learning…”
Enlace del recurso

T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy por Li, Lei, Tian, Wenfei, Zhao, Zihui, Xiao, Yonggui, Zhang, Yong, Liu, Jindong, Velu, Govindan, Zhonghu, He, Ibba, Maria Itria

Materias: “…machine learning…”
Enlace del recurso

Inclusive agricultural insurance for sustainable wheat intensification as a pathway to smallholder resilience in Ethiopia por Ebrahim, Mohammed

Materias: “…machine learning…”
Enlace del recurso

Unlocking the Potential of AI in Agricultural Research: Insights from ICRISAT’s Sensitization Workshop and Survey Findings por Rupavatharam, Srikanth, Patil, Mukund, Gelaye, Kidia, Reddy, Nagarjuna, Mitnala, Sreevani, Dhungel, Rajeev, Ravula, Padmaja

Materias: “…machine learning…”
Enlace del recurso

Pathogen and pest communities in agroecosystems across climate gradients: anticipating future challenges in the highland tropics por Mouafo-Tchinda, R.A., Sula, A.I.P., Etherton, B.A., Okonya, J.S., Nakato, G.V., Xing, Y., Robledo, J., Adhikari, A., Blomme, G., Kantungeko, D., Nduwayezu, A., Kreuze. J.F., Kroschel, J., Legg, J.P., Garrett, K.A.

Materias: “…machine learning…”
Enlace del recurso

Monitoreo y gestión inteligente de cultivos : alertas preventivas y sistema de iluminación suplementario

Materias: “…MACHINE LEARNING…”
Enlace del recurso

Monitoring spatial-temporal variations of surface areas of small reservoirs in Ghana’s Upper East Region using Sentinel-2 satellite imagery and machine learning por Ghansah, B., Foster, T., Higginbottom, T. P., Adhikari, R., Zwart, Sander J.

Materias: “…machine learning…”
Enlace del recurso