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Adoption of Rice Crop Manager (RCM) Technology on Farm Productivity in Baybay City, Leyte: A Proposed Action Plan

Rosemarie Gonzaga, Janeth Lacostales
Psychology and Education: A Multidisciplinary Journal · 2026-02-11 · DOI 10.70838/pemj.520206
Token #7155
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #7155.
Token#7155 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xd090c9d984a3492223bcdf989d7311502804513eff6190057b33f73fe37b3c62 · block 12109596
Minted2026-10-02 10:55 UTC
Hash on chain0xe1912ae76051f74de8629717268e0676e6770bdfdf5595f636c4595caa3374e7
SHA-256 of the record0xe1912ae76051f74de8629717268e0676e6770bdfdf5595f636c4595caa3374e7
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Rosemarie Gonzaga 0x737C955A…C00346 450,000 450,000
Janeth Lacostales 0x905Aa703…fE8520 450,000 450,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"This quantitative study assessed the adoption of Rice Crop Manager (RCM) technology and its impact on farm productivity among 247 farmers in Baybay City, Leyte, from 2017-2022, to propose an action plan. Utilizing survey questionnaires, data on socio-demographic, socio-cultural, and institutional factors, RCM utilization, and challenges were gathered and analyzed using descriptive statistics and Pearson correlation analysis. Findings reveal an aging farming population with basic education and predominantly smallholder tenants. While socio-demographic factors showed limited direct correlation, RCM utilization was strongly and significantly correlated with government initiatives (financial subsidies, trainings) and social influences (peer farmers, community leaders, extension officers), alongside consistent engagement in RCM farm management practices. Key challenges included difficulty in understanding the technology, high input costs, and limited access to devices. Farmers overwhelmingly agreed on the necessity of policy interventions, such as financial incentives, enhanced training, and improved access to technology. The study concludes that RCM adoption is primarily driven by comprehensive government support and strong social networks, and that addressing technological complexity and economic barriers, and ensuring sustained support, are crucial for wider uptake.","abstract_source":"original","authors":["Rosemarie Gonzaga","Janeth Lacostales"],"date":"2026-02-11","doi":"10.70838/pemj.520206","id":7155,"issue":2,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"8c8c99cc8350419109b2e92799170be286cc15f87df7719e9685d22e53b06bd0","schema":"scimatic-article/1","title":"Adoption of Rice Crop Manager (RCM) Technology on Farm Productivity in Baybay City, Leyte: A Proposed Action Plan","volume":52}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/7155.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(7155)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001bf3"},"latest"]}'

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