1 code implementation • 5 Jul 2023 • Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef
Satellite Earth observations (EO) can provide affordable and timely information for assessing crop conditions and food production.
no code implementations • 1 Jun 2023 • Anh Nhat Nhu, Ritvik Sahajpal, Christina Justice, Inbal Becker-Reshef
Accurate yield forecasting is essential for making informed policies and long-term decisions for food security.
1 code implementation • 21 Sep 2020 • Hannah Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini, Estefania Puricelli, Patrick Gray
Crop type classification using satellite observations is an important tool for providing insights about planted area and enabling estimates of crop condition and yield, especially within the growing season when uncertainties around these quantities are highest.
2 code implementations • 23 Jun 2020 • Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, Mehdi Hosseini
A major challenge for developing crop maps is that many regions do not have readily accessible ground truth data on croplands necessary for training and validating predictive models, and field campaigns are not feasible for collecting labels for rapid response.
no code implementations • 6 Apr 2020 • Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
Accurate crop type maps provide critical information for ensuring food security, yet there has been limited research on crop type classification for smallholder agriculture, particularly in sub-Saharan Africa where risk of food insecurity is highest.