#yieldestimation 搜尋結果
#Yieldestimation typically involves manually counting #grapeclusters...and an error rate of up to 23.5%. A new method from @thegrapeprof and team uses #smartphones to collect a larger, non-destructive sample, yielding 1/2 the error rate. #graperesearch bit.ly/3h6nf9R
@CIMMYT Training of Development Agents in Jimma, Ethiopia for TAMASA Project #YieldEstimation #NutrientExpertTool #BMGF
Training in the #Pronofrut method at Agricola Brown, to obtain objective estimates of budding and projection of yield of tablegrapes #YieldEstimation
Capacitacion de #Pronofrut en Agricola Brown, para una estimación objetiva de brotacion y cosecha en uva de mesa #YieldEstimation #EstimacionDeCosecha
Capacitacion de #Pronofrut para una estimación objetiva de cosecha en viñas @LFEWINES #YieldEstimation #EstimacionDeCosecha
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting Full text: tinyurl.com/yu387hht #PlantScience #DeepLearning #YieldEstimation
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning Full text: tinyurl.com/ycxhhnwb #CropScience #NeuralNetwork #YieldEstimation
🌽🌽🛰️ #Maize #YieldEstimation in Intercropped Smallholder Fields Using #Satellite Data in Southern Malawi ✍️ Chengxiu Li et al. 📎 mdpi.com/2072-4292/14/1…
#AgricultureMdpi – Editor's Choice Article 📜Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products ✍️by Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
#AgricultureMdpi - 2022 High Cited Paper Title: Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products Authors: Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
#yieldestimation #estimaciondecosecha chile a peru
En Piura Peru presentando Pronofrut metodo cientifico para estimar y monitorear cosechas.
🌱🌱🛩️ Multisite and Multitemporal #Grassland #YieldEstimation Using #UAV-Borne #Hyperspectral Data ✍️ Matthias Wengert et al. 📎 mdpi.com/2072-4292/14/9…
Ready to estimate your #sorghum yields? Start taking counts 3-4 weeks after flowering. Get all the details on calculating heads, seeds per head, and seed weight here: eupdate.agronomy.ksu.edu/article/grain-… #YieldEstimation #Sorghum
Boosting rape yield estimation accuracy! We used WOFOST model with new calibration methods (TPAI-SPA & TPAI-Curve) considering silique photosynthesis. Results show significant improvement in yield prediction accuracy. #CropModeling #YieldEstimation Details:…
This is some big news for Aussie orchards. After a crazy amount of R&D in the US, South Africa and Europe this sotfware is now available in Australia through @stev_tech. #yieldestimation #treehealth #orchardmanagement #drone #satellite #artificialintelligence #Australia
We are thankful to @mncfcdac for making us as their partner in its GP-level #YieldEstimation using technology under #PMFBY We look forward to be working on this project as a partnering firm. #agritech #agtech #farming #agriculture #smartmonitoring
Migrating towards technology-based crop yield estimation #Click 2 Read: agriculturepost.com/migrating-towa… #Technology #YieldEstimation #CropCuttingExperiment #Drones #ArtificialIntelligence #InternetOfThings #Food #CropForecast @PIBAgriculture
TerraviewOS provides accurate intelligence on yield estimation, weather forecast, canopy cover, adverse weather events, disease alerts, and water needs of your vineyard from one dashboard. Know more terraview.co #terraview #yieldestimation #weatherforecast #vineyard
Boosting rape yield estimation accuracy! We used WOFOST model with new calibration methods (TPAI-SPA & TPAI-Curve) considering silique photosynthesis. Results show significant improvement in yield prediction accuracy. #CropModeling #YieldEstimation Details:…
🌽🌽🛰️ #Maize #YieldEstimation in Intercropped Smallholder Fields Using #Satellite Data in Southern Malawi ✍️ Chengxiu Li et al. 📎 mdpi.com/2072-4292/14/1…
🌱🌱🛩️ Multisite and Multitemporal #Grassland #YieldEstimation Using #UAV-Borne #Hyperspectral Data ✍️ Matthias Wengert et al. 📎 mdpi.com/2072-4292/14/9…
Ready to estimate your #sorghum yields? Start taking counts 3-4 weeks after flowering. Get all the details on calculating heads, seeds per head, and seed weight here: eupdate.agronomy.ksu.edu/article/grain-… #YieldEstimation #Sorghum
#AgricultureMdpi – Editor's Choice Article 📜Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products ✍️by Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
#AgricultureMdpi - 2022 High Cited Paper Title: Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products Authors: Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting Full text: tinyurl.com/yu387hht #PlantScience #DeepLearning #YieldEstimation
TerraviewOS has developed a proprietary AI model for yield forecasting. The model provides reliable & accurate yield prediction. Trusted by over 1000 growers globally. Know more - terraview.co #terraviewos #vineyard #yieldestimation #weatherforecast #diseasedetection
TerraviewOS provides accurate intelligence on yield estimation, weather forecast, canopy cover, adverse weather events, disease alerts, and water needs of your vineyard from one dashboard. Know more terraview.co #terraview #yieldestimation #weatherforecast #vineyard
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning Full text: tinyurl.com/ycxhhnwb #CropScience #NeuralNetwork #YieldEstimation
Migrating towards technology-based crop yield estimation #Click 2 Read: agriculturepost.com/migrating-towa… #Technology #YieldEstimation #CropCuttingExperiment #Drones #ArtificialIntelligence #InternetOfThings #Food #CropForecast @PIBAgriculture
#Yieldestimation typically involves manually counting #grapeclusters...and an error rate of up to 23.5%. A new method from @thegrapeprof and team uses #smartphones to collect a larger, non-destructive sample, yielding 1/2 the error rate. #graperesearch bit.ly/3h6nf9R
#Yieldestimation typically involves manually counting #grapeclusters...and an error rate of up to 23.5%. A new method from @thegrapeprof and team uses #smartphones to collect a larger, non-destructive sample, yielding 1/2 the error rate. #graperesearch bit.ly/3h6nf9R
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting Full text: tinyurl.com/yu387hht #PlantScience #DeepLearning #YieldEstimation
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning Full text: tinyurl.com/ycxhhnwb #CropScience #NeuralNetwork #YieldEstimation
@CIMMYT Training of Development Agents in Jimma, Ethiopia for TAMASA Project #YieldEstimation #NutrientExpertTool #BMGF
🌽🌽🛰️ #Maize #YieldEstimation in Intercropped Smallholder Fields Using #Satellite Data in Southern Malawi ✍️ Chengxiu Li et al. 📎 mdpi.com/2072-4292/14/1…
Training in the #Pronofrut method at Agricola Brown, to obtain objective estimates of budding and projection of yield of tablegrapes #YieldEstimation
Ready to estimate your #sorghum yields? Start taking counts 3-4 weeks after flowering. Get all the details on calculating heads, seeds per head, and seed weight here: eupdate.agronomy.ksu.edu/article/grain-… #YieldEstimation #Sorghum
Capacitacion de #Pronofrut para una estimación objetiva de cosecha en viñas @LFEWINES #YieldEstimation #EstimacionDeCosecha
🌱🌱🛩️ Multisite and Multitemporal #Grassland #YieldEstimation Using #UAV-Borne #Hyperspectral Data ✍️ Matthias Wengert et al. 📎 mdpi.com/2072-4292/14/9…
Capacitacion de #Pronofrut en Agricola Brown, para una estimación objetiva de brotacion y cosecha en uva de mesa #YieldEstimation #EstimacionDeCosecha
#AgricultureMdpi – Editor's Choice Article 📜Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products ✍️by Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
#AgricultureMdpi - 2022 High Cited Paper Title: Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products Authors: Jian Wang et al. Link: doi.org/10.3390/agricu… #winterwheat #yieldestimation #LSTM #LAI #deeplearning
Boosting rape yield estimation accuracy! We used WOFOST model with new calibration methods (TPAI-SPA & TPAI-Curve) considering silique photosynthesis. Results show significant improvement in yield prediction accuracy. #CropModeling #YieldEstimation Details:…
Migrating towards technology-based crop yield estimation #Click 2 Read: agriculturepost.com/migrating-towa… #Technology #YieldEstimation #CropCuttingExperiment #Drones #ArtificialIntelligence #InternetOfThings #Food #CropForecast @PIBAgriculture
This is some big news for Aussie orchards. After a crazy amount of R&D in the US, South Africa and Europe this sotfware is now available in Australia through @stev_tech. #yieldestimation #treehealth #orchardmanagement #drone #satellite #artificialintelligence #Australia
We are thankful to @mncfcdac for making us as their partner in its GP-level #YieldEstimation using technology under #PMFBY We look forward to be working on this project as a partnering firm. #agritech #agtech #farming #agriculture #smartmonitoring
TerraviewOS has developed a proprietary AI model for yield forecasting. The model provides reliable & accurate yield prediction. Trusted by over 1000 growers globally. Know more - terraview.co #terraviewos #vineyard #yieldestimation #weatherforecast #diseasedetection
TerraviewOS provides accurate intelligence on yield estimation, weather forecast, canopy cover, adverse weather events, disease alerts, and water needs of your vineyard from one dashboard. Know more terraview.co #terraview #yieldestimation #weatherforecast #vineyard
We are proud to announce that Aerobotics is an official sponsor of the 2019-20 @CitrusIndustry U.S. and Florida Citrus Crop Forecast. Listen to the May crop forecast today (from 12 PM ET / 9 AM PT): bit.ly/2zyjVkV #FloridaCitrusCropForecast #YieldEstimation #USDA
Something went wrong.
Something went wrong.
United States Trends
- 1. Ravens 57.3K posts
- 2. Lamar 45.9K posts
- 3. Bengals 51.2K posts
- 4. #heatedrivalry 11.1K posts
- 5. ilya 14.4K posts
- 6. shane 16.9K posts
- 7. Joe Burrow 20.5K posts
- 8. Zay Flowers 4,102 posts
- 9. Cowboys 92.6K posts
- 10. Chiefs 108K posts
- 11. #WhoDey 3,654 posts
- 12. Hudson 11.3K posts
- 13. Derrick Henry 4,424 posts
- 14. Perine 1,580 posts
- 15. #hrspoilers 1,422 posts
- 16. connor storrie 1,749 posts
- 17. Harbaugh 3,113 posts
- 18. Sarah Beckstrom 212K posts
- 19. Zac Taylor 2,609 posts
- 20. AFC North 2,312 posts