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- 01HTDP7ZJYQREWRRTFFJAEN2SV classification P1.
- 01HTDP7ZJYQREWRRTFFJAEN2SV date "2024".
- 01HTDP7ZJYQREWRRTFFJAEN2SV language "eng".
- 01HTDP7ZJYQREWRRTFFJAEN2SV type conference.
- 01HTDP7ZJYQREWRRTFFJAEN2SV hasPart 01HTDPJTDJB7XRG0JGNZW299BV.pdf.
- 01HTDP7ZJYQREWRRTFFJAEN2SV subject "Agriculture and Food Sciences".
- 01HTDP7ZJYQREWRRTFFJAEN2SV subject "Earth and Environmental Sciences".
- 01HTDP7ZJYQREWRRTFFJAEN2SV subject "Technology and Engineering".
- 01HTDP7ZJYQREWRRTFFJAEN2SV doi "10.1609/aaai.v38i20.30251".
- 01HTDP7ZJYQREWRRTFFJAEN2SV isbn "9781577358879".
- 01HTDP7ZJYQREWRRTFFJAEN2SV issn "2159-5399".
- 01HTDP7ZJYQREWRRTFFJAEN2SV issn "2374-3468".
- 01HTDP7ZJYQREWRRTFFJAEN2SV issue "20".
- 01HTDP7ZJYQREWRRTFFJAEN2SV presentedAt urn:uuid:cbc94f81-c048-405d-9f88-59c6c6938332.
- 01HTDP7ZJYQREWRRTFFJAEN2SV volume "38".
- 01HTDP7ZJYQREWRRTFFJAEN2SV abstract "Small farms contribute to a large share of the productive land in developing countries. In regions such as sub-Saharan Africa, where 80% of farms are small (under 2 ha in size), the task of mapping smallholder cropland is an important part of tracking sustainability measures such as crop productivity. However, the visually diverse and nuanced appearance of small farms has limited the effectiveness of traditional approaches to cropland mapping. Here we introduce a new approach based on the detection of harvest piles characteristic of many smallholder systems throughout the world. We present HarvestNet, a dataset for mapping the presence of farms in the Ethiopian regions of Tigray and Amhara during 2020-2023, collected using expert knowledge and satellite images, totalling 7k hand-labeled images and 2k ground-collected labels. We also benchmark a set of baselines, including SOTA models in remote sensing, with our best models having around 80% classification performance on hand labelled data and 90% and 98% accuracy on ground truth data for Tigray and Amhara, respectively. We also perform a visual comparison with a widely used pre-existing coverage map and show that our model detects an extra 56,621 hectares of cropland in Tigray. We conclude that remote sensing of harvest piles can contribute to more timely and accurate cropland assessments in food insecure regions. The dataset can be accessed through https://figshare.com/s/45a7b45556b90a9a11d2, while the code for the dataset and benchmarks is publicly available at https://github.com/jonxuxu/harvest-piles.".
- 01HTDP7ZJYQREWRRTFFJAEN2SV author a94041e6-0431-11eb-a74c-a45c01dd25f0.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:3d90f737-1aa0-457a-8180-262642fd0345.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:4732eb6e-19f9-400f-8437-5c78528ca819.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:5bb21b53-f690-4f10-97f6-17cd6327cb41.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:c21a138a-1e47-46a7-89b2-0a88e036a2ac.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:cce3bfbe-0c66-415e-9cdd-b1f5bb078fc6.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:cef01241-8c72-4447-90ef-eee009952be3.
- 01HTDP7ZJYQREWRRTFFJAEN2SV author urn:uuid:d8f64136-79f0-4ac7-b865-0c7a11bcd408.
- 01HTDP7ZJYQREWRRTFFJAEN2SV dateCreated "2024-04-01T20:40:05Z".
- 01HTDP7ZJYQREWRRTFFJAEN2SV dateModified "2024-11-28T00:16:49Z".
- 01HTDP7ZJYQREWRRTFFJAEN2SV name "HarvestNet : a dataset for detecting smallholder farming activity using harvest piles and remote sensing".
- 01HTDP7ZJYQREWRRTFFJAEN2SV pagination urn:uuid:00632590-add6-431f-be21-cddd460ebdf0.
- 01HTDP7ZJYQREWRRTFFJAEN2SV publisher urn:uuid:28274db0-5320-49b4-96d4-234373d29292.
- 01HTDP7ZJYQREWRRTFFJAEN2SV sameAs LU-01HTDP7ZJYQREWRRTFFJAEN2SV.
- 01HTDP7ZJYQREWRRTFFJAEN2SV sourceOrganization urn:uuid:9629e9de-223a-4964-8979-6a2941b06a29.
- 01HTDP7ZJYQREWRRTFFJAEN2SV type P1.