Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation

Earth & Environmental Sciences

• fruit 87%
• detection 50%
• evaluation 41%
• comparison 36%
• detector 18%
• imagery 16%
• decision making 16%
• sensor 14%
• agricultural practice 11%
• video 10%
• logistics 9%
• learning 8%
• environmental conditions 8%
• industry 6%
• trend 5%

Agriculture & Biology

• neural networks 93%
• fruits 51%
• detectors 22%
• decision making 21%
• sensors (equipment) 20%
• groves 13%
• avocados 13%
• lemons 12%
• agricultural industry 12%
• Chile 10%
• learning 9%
• apples 8%
• environmental factors 6%
• methodology 5%

Engineering & Materials Science

• Fruits 100%
• Convolutional neural networks 78%
• Detectors 16%
• Decision making 15%
• Object tracking 11%
• Object detection 11%
• Sensors 11%
• Logistics 9%
• Computer vision 9%