Nilabadi Fishing Pond fields

Where

The exact fields

Traced from the map screenshot you marked. Each screenshot was fitted onto close-up aerial photos by matching roads, ponds and tree clumps, to within about 2 m (how this works). Only 10 m squares whose centre is inside the outline count towards the crop numbers.

Where they are. Two fields just south of the east–west road, east of the group of small ponds. They are about 487 m north-east of the centre of the main fishing pond. The marked map was turned almost upside down (about 160°), so directions read off the screen are reversed. Field A is the larger one next to the road. Field B lies to its south-west. The earlier 600 m square around the pond held only part of field B and none of field A. So the numbers here differ from the old snapshot, which is kept but not updated.

Field	Centre (map position)	Size	Number of 10 m squares	How sure we are
Pond-area field A (north-east, by the road)	18.95065 N, 83.26737 E	1.04 ha 2.57 acres	103 (85 fully inside)	Position: sure. Edges: fairly sure (within 5–10 m). Faint lines inside may mean it is more than one field.
Pond-area field B (south-west)	18.95004 N, 83.26660 E	0.47 ha 1.15 acres	42 (37 fully inside)	Position: sure. Edges: fairly sure. The west edge is unclear. It may be the bund at the outline, or a terrace edge about 25 m further west.
Both fields together	18.95046 N, 83.26713 E	1.51 ha 3.72 acres	145	The two fields meet only at one corner, about 4 m apart.

Outline of the Nilabadi Fishing Pond fields on a close-up aerial photo — **How to read this:** the coloured line is the field outline FarmBot uses. Close-up aerial photo, north at the top. Photo: Esri World Imagery (Esri, Maxar, Earthstar Geographics); date of the photo not stated.

Satellite photo of the Nilabadi Fishing Pond fields in normal colour — **How to read this:** each tiny square of colour is 10 m across. The photo is much blurrier than the aerial photo above. Normal-colour satellite photo, 23 Oct 2026, north at the top, with the outline.

Greenness map of the Nilabadi Fishing Pond fields — **How to read this:** green = leafy, healthy crop; yellow = thinner; red = bare soil or no plants. The scale runs from about 0.2 to 0.9. Greenness map, 23 Oct 2026, with the outline.

Crop health · greenness inside the outline

The crop's year, month by month

Built from 106 cloud-free satellite photos (at least 60% of the squares inside the outline were clear of cloud). The labels say what the greenness shows. They are not records of work done in the field. Seen by satellite Technical name: NDVI and phenology

Oct
25

Nov
25

Dec
25

Jan
26

Feb
26

Mar
26

Apr
26

May
26

Jun
26

Jul
26

Aug
26

Sep
26

Oct
26

fully green crop (0.65 or more)ripening or harvested (greenness falling)dry or empty field (under 0.4)young crop growing (0.4–0.65)too cloudy to see (fewer than 2 clear photos)

How to read this: each box is one month, from October 2025 to October 2026. Its colour shows what the field mostly looked like from space that month.

2025 monsoon crop at its greenest (smoothed)	0.86 on about 18 Oct 2025
Ripening started: greenness fell below 0.7	12 Nov 2025
Mostly harvested: greenness fell below 0.5	27 Nov 2025
Lowest point in the dry season (smoothed)	0.24 on about 13 Feb 2026
2026 crop half-way green (rough)	about 3 Jun 2026
September 2026, middle value	0.61
Latest cloud-free photos	18 Oct: 0.74, 21 Oct: 0.85, 23 Oct: 0.90
Pond-area field A (north-east, by the road): greenest in 2025 · greenest so far in 2026	0.86 · 0.80
Pond-area field B (south-west): greenest in 2025 · greenest so far in 2026	0.85 · 0.78

In 2025 the pond fields were greenest at 0.86, around 18 Oct. They were mostly harvested by 27 Nov. In 2026 they turned green more slowly than the temple plot. In September their middle greenness was 0.61, against 0.73 for the temple plot. They were still getting greener on 23 Oct.

Unlike the temple plot, these fields stayed fairly green (greenness about 0.5–0.64) from late April into June 2026, before the monsoon crop. Something was growing there: a summer crop, a seedling nursery or weeds. Please check this on the ground, because it moves the "half-way green" date above.

Greenness over time for the exact plots — **How to read this:** higher line = greener, healthier crop. The big fall in Nov–Dec 2025 is last year's harvest. The low, flat part (Jan–Apr) is the dry season. The rise from June is this year's crop. Greenness inside each outline. Dots are single cloud-free photos. The line is smoothed. The shaded band shows where the middle half of the squares fell. Blue is pond field A, light green is pond field B, orange is the temple plot.

Inside the field · 10 m squares

Is any part of the field always weaker? Experimental

Each 10 m square fully inside the outline is compared with the field's middle value on the same day. This uses the cloud-free photos of 1–23 October, in both 2025 and 2026. A real weak patch would be low in both years.

Map of weaker and stronger squares — **How to read this:** green squares were greener than the field middle, red squares less green. A ring marks a square that was in the lowest 20% in both years. Average of both Octobers.

Result: no weak patch

Pond-area field A (north-east, by the road): 85 squares tested. Year-to-year match score: -0.37. 3 square(s) were in the lowest 20% in both years (4%, against about 4% you'd expect by chance).
Pond-area field B (south-west): 37 squares tested. Year-to-year match score: -0.04. 1 square(s) were in the lowest 20% in both years (3%, against about 4% you'd expect by chance).

The squares that were low in one year are not the ones that were low in the other. So FarmBot does not claim a weak patch. The pond fields are too small to leave out the edge squares, so many tested squares still mix in bunds and the next field. The weak strip north of the pond in the old snapshot is outside these fields (about 250 m away, none of it inside). So it says nothing about them. It stays in the snapshot. Technical name: weak-zone check with Spearman rank correlation

Pond water · seen by satellite

The pond held water all dry season

The main fishing pond is about 487 m from the fields. FarmBot measured the open water within 150 m of the pond's centre, using the water score (above 0 means water). It stayed between 0.9 and 1.6 ha on every cloud-free photo from Nov 2025 to Jun 2026.

The second version of the water score suggests the pond shrank from about 1.5 ha (Dec–Jan middle value) to about 1.0 ha (Mar–May middle value). This is the water's surface area only. The satellite can't see depth or how much water there is. Seen by satellite Technical name: NDWI and MNDWI

Pond water area over time — **How to read this:** the blue line and the orange dashed line are two versions of the water score. Both show about 1–1.5 ha most of the time. Short spikes are usually haze or a wet field nearby, not real changes. Water area within 150 m of the pond, on cloud-free dates.

Soil · from a world soil map

What the soil is probably like Estimate

A slightly sour (acidic) loam (a mixed, easy-to-work soil) on top, with heavier clay-loam below, with pH 6.2–6.4. (pH 7 is neutral; lower is more sour.) The values are read at the centre of field A. Field B falls in the same 250 m square of the map, so it gets the same values. They come from a world soil map that predicts soil on 250 m squares, much bigger than the fields. Get a Soil Health Card or a lab test before deciding on fertiliser. Technical name: ISRIC SoilGrids 2.0

What	Top 5 cm	5–15 cm deep	15–30 cm deep
Clay (%; sticky, fine particles)	25.5	28.8	32.2
Sand (%; gritty, coarse particles)	39.7	37.3	34.9
Silt (%; smooth, middle-sized particles)	34.8	33.9	32.8
Sourness (pH) (scale 0–14; below 7 is slightly sour, or acidic)	6.2	6.2	6.4
Organic matter (carbon) (grams per kg; from rotted plants; more is better)	26.4	15.2	10.9
Total nitrogen (grams per kg; a main plant food)	1.83	1.4	0.96
Nutrient-holding power (a lab unit, cmol(c)/kg; technical name: CEC)	17.3	16.0	15.0
How tightly packed (grams per cm³; technical name: bulk density)	1.31	1.33	1.36

Please read with care

FarmBot is an experiment. For now it uses satellites only. Always trust what you see in the field first.
The field outlines are traced by hand, not surveyed. They were drawn from the maps you marked and lined up with close-up aerial photos (to within about 1–2 m). The edges are right to about 5–10 m.
The photos are coarse. Each 10 m square is one dot of colour. The two pond fields hold only about 100 and 40 of these squares, and many mix in bunds and the next field. So detail inside a field is only a rough hint.
Clouds hide the monsoon. In July and August there were only one or two cloud-free photos. So the satellite can't tell when transplanting happened.
Soil and weather numbers are computer estimates, not measurements on these fields. Areas are approximate.