Update README.md

README.md

@@ -22,7 +22,7 @@ The collection was done on multiple farms in Ghana and Uganda.
 Collected image data of cashew and cocoa crops using a DJI P4 Multispectral Drone
 Collected 4,715 instances of cashew images and 4,069 instances of cocoa images in Ghana and A total of 6,086 drone images, comprising 3,000 for coffee and 3,086 for cashew, were collected due to these field activities. 
 A total of 3000 coffee yield data points were collected in Uganda.
-Annotation of cashew trees, flowers, immature, mature, ripped and spoilt cashew and cocoa fruits was done over a period of 2 months.
+Annotation of cashew trees, flowers, immature, mature, ripped and spoilt cashew, cocoa fruits and coffee was done over a period of 2 months.
 The Drone-based Agricultural Dataset for Crop Yield Estimation via [HuggingFace](https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation).
 The Dataset was compiled by two teams:
  * KaraAgro AI Foundation (Ghana)
@@ -34,12 +34,12 @@ The Dataset was compiled by two teams:
 
 ## Intended uses
 
-You can use the dataset for object detection on cashew images and Cocoa images.
-The dataset was initially developed to inform users on yield estimation of the crops:
+You can use the dataset for object detection on cashew, coffee and Cocoa images.
+The dataset was initially developed to inform users on yield estimation of crops:
 - cashew trees
 - flowers
 - immature
-- mature,
+- mature
 - ripped
 - spoilt cashew
 - cocoa fruits